CN1839386A - Internet searching using semantic disambiguation and expansion - Google Patents
Internet searching using semantic disambiguation and expansion Download PDFInfo
- Publication number
- CN1839386A CN1839386A CNA2004800239619A CN200480023961A CN1839386A CN 1839386 A CN1839386 A CN 1839386A CN A2004800239619 A CNA2004800239619 A CN A2004800239619A CN 200480023961 A CN200480023961 A CN 200480023961A CN 1839386 A CN1839386 A CN 1839386A
- Authority
- CN
- China
- Prior art keywords
- inquiry
- information
- keyword senses
- database
- word
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/237—Lexical tools
- G06F40/247—Thesauruses; Synonyms
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99931—Database or file accessing
- Y10S707/99933—Query processing, i.e. searching
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99931—Database or file accessing
- Y10S707/99933—Query processing, i.e. searching
- Y10S707/99934—Query formulation, input preparation, or translation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99931—Database or file accessing
- Y10S707/99933—Query processing, i.e. searching
- Y10S707/99935—Query augmenting and refining, e.g. inexact access
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Machine Translation (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to a system and method for processing natural language text utilizing disambiguation components to identify a disambiguated sense for the text. For the method, it comprises applying a selection of the components to the text to identify a local disambiguated sense for the text. Each component provides a local disambiguated sense of the text with a confidence score and a probability score. The disambiguated sense is determined utilizing a selection of local disambiguated senses. The invention also relates to a system and method for generating sense-tagged text. For the method, it comprises steps of: disambiguating a quantity of documents utilizing a disambiguation component; generating a confidence score and a probability score for a sense identified for a word provided by the component; if the confidence score for the sense for the word is below a set threshold, the sense is ignored; and if the confidence score for the sense for the word is above the set threshold, the sense is added to the sense-tagged text.
Description
Related application
The application number that the application requires on August 21st, 2003 to submit to is the right of priority of 60/496,681 U.S. Provisional Patent Application.
Technical field
The present invention relates to Internet search, relate in particular to and use semantic ambiguity to eliminate and the Internet search of expanding.
Background technology
When handling huge data set, for example document database or the webpage on the Internet, the capacity of data available can cause and be difficult to find for information about.Trial has used various searching methods to find for information about in such information bank.The best known system of some of them is a network search engines, for example allows the user to carry out Yahoo (trade mark) and Google (trade mark) based on keyword search.These search are usually directed to the keyword of user's input and the keyword in the web page index are mated.
Yet the frequent generation of existing the Internet search methods is not useful especially result.This search can be returned a lot of results, but only has a small amount of relevant with user's inquiry or basic not relevant with user inquiring.On the other hand, this search can be returned a spot of result, and wherein neither one is the precise results that the user is searching, and can't return potential correlated results simultaneously.
In carrying out such search, meet with some difficult reasons and be the ambiguity of the word that in natural language, uses.Particularly, because a word can have multiple implication, so often meet with difficulty.Past is called as this difficult problem of technical finesse that semantic ambiguity is eliminated by use, and this technology comprises and converts word to specific semanteme the meaning of a word.For example, word " bank " can have implication or other definition of appended " financial institution ".
The 6th, 453, No. 315 U.S. Patent Publications based on the information organization of implication with search (retrieval).This patent disclosure create a semantic space by the relation between concept dictionary (lexicon of concepts) and the notion.Query mappings is arrived the position of this inquiry of expression and the implication circuit sectionalizer of semantic space.Finish search with definite near (closeness) and implication by determining the semantic difference between the circuit sectionalizer.It is that the basis is come this search of refining or navigated by the node that is found in Search Results in addition with the determined implication of this system that this system relies on the user.
As be known in the art, come the efficiency evaluation of information retrieval is quantized by " precision " and " recalling ".Can quantified precision by the quantity that is used in the correct result who finds in the search divided by result's overall quantity.Quantity by being used in the correct result who finds in the search can quantize to recall divided by result's that may be correct overall quantity.Can obtain perfectly to recall by returning all possible result simply (promptly 100%), but this can cause the precision of non-constant.Most of existing systems are striven balance quality and the standard of recalling.For example will inevitably reduce precision by using synonym to provide more possible outcome to improve to recall.On the other hand, by dwindling Search Results, for example by select with inquiry in the result that is complementary of the accurate order of word reduction is recalled.
Therefore need a kind of query processing system that addresses the deficiencies of the prior art and method.
Summary of the invention
According to an aspect of the present invention, a kind of information search method is provided, it may further comprise the steps: the ambiguity of eliminating inquiry, eliminate the ambiguity and the index information of information according to keyword senses may, by use in this inquiry keyword senses may and with this inquiry in semantic relevant other meaning of a word of keyword senses may search for this information of index to find the information of being correlated with this inquiry, and returning Search Results, described Search Results comprises the information that comprises the keyword senses may meaning of a word relevant with other semantemes.
This method can be applied to any use keyword and carry out the indexed data storehouse.Preferably, the method have been applied to Internet search.
Semantic relation can be the relationship type between two words that define in logic any or the grammer.The example of this relation is synonymy, hyponymy etc.
The step of eliminating the ambiguity of inquiry can comprise to the keyword senses may allocation probability.Similarly, the step of the ambiguity of elimination information can be included as keyword senses may interpolation probability.
The keyword senses may of Shi Yonging can be the rough grouping of meticulousr keyword senses may in the method.
On the other hand, provide a kind of method of using inquiry search information in database.This method may further comprise the steps: the ambiguity of eliminating information according to keyword senses may in database; According to keyword senses may index information in database; The ambiguity of eliminating this inquiry is to determine the keyword senses may relevant with this inquiry; Thereby expand this keyword senses may is created an expansion with the relevant semantic relation that comprises this keyword senses may keyword senses may tabulation; The keyword senses may search database of using expansion is to find the relevant information about this inquiry; And the Search Results that included information is provided, this information comprises keyword senses may and other semantic relevant meaning of a word.
In the method, the ambiguity of elimination information can be included as keyword senses may interpolation probability in database.Can utilize the word in a plurality of these information of implication index, and the probability of this implication can be stored in the index with this implication.
In the method, eliminating the ambiguity of inquiring about can comprise to described keyword senses may allocation probability.
In the method, eliminate the ambiguity of this inquiry to determine that specific keyword senses may can also comprise the probability that uses each described particular keywords justice.
In the method, the specific keyword senses may of expansion also comprises by the syntactic structure of resolving specific keyword senses may and explains this inquiry and determine other semantic inquiries that equate.
In the method, this keyword senses may can be represented the rough grouping of meticulous keyword senses may.
On the other hand, provide a kind of inquiry provides information from database system that responds.This system comprises: one comprises the database that falls by the data of query search; One for will be inquired about the index module of a cross index of employed data creation by this; A query processing module that described inquiry is applied to database; And an ambiguity that is used to eliminate inquiry is to determine the disambiguation module of the keyword senses may relevant with this inquiry.Especially for this system: disambiguation module is eliminated the ambiguity of information in database according to keyword senses may; Index module is according to keyword senses may index information in database; The query processing module etendue critical meaning of a word to be comprising the keyword senses may tabulation of creating an expansion about the corresponding semantic synonym of described keyword senses may, begins database search so that find relevant information for this inquiry by the keyword senses may of using expansion; And provide the Search Results that comprises information, this information to comprise keyword senses may and other semantic relevant meaning of a word.
In this system, disambiguation module arranges described keyword senses may for the keyword senses may allocation probability.Can utilize the word in a plurality of these information of implication index, and the probability of this implication can be stored in the index with this implication.In this system, this keyword senses may is represented the rough grouping of meticulous keyword senses may.
The otherwise function that this system can also mention in conjunction with method described above.
On the other hand, provide the set of above aspect or the various combinations of subclass.
Description of drawings
Will be according to following its specific embodiment and only illustrates that by means of example the description of the drawings of the principle of the invention becomes more obvious in above-mentioned and other aspects of the present invention.In the accompanying drawings, same Reference numeral is represented identical elemental characteristic (and wherein individual element has unique letter suffix):
Fig. 1 is a synoptic diagram that the information retrieval system that the semantic ambiguity relevant with the embodiment of the invention eliminate is provided;
Fig. 2 is the word relevant with the system of Fig. 1 and the synoptic diagram of the meaning of a word;
Fig. 3 A is used for the representational semantic relation of system of Fig. 1 or the synoptic diagram of word;
Fig. 3 B is the data structure diagram of semantic relation of Fig. 3 A that is used for representing being used for the system of Fig. 1; And
Fig. 4 is the process flow diagram by the performed method of the semantic relation of the meaning of a word of use Fig. 2 of system of Fig. 1 and Fig. 3 A.
Embodiment
By means of illustrating of specific embodiment in an example or a plurality of example, the especially principle of the invention provided following explanation and described in embodiment.Provide the purpose of these examples to be to explain and unrestricted principle of the present invention.In the following description, in whole instructions and accompanying drawing with the identical identical parts of each Reference numeral mark.
Following term will be used and have implication shown below in follow-up explanation:
Computer-readable recording medium: be used to store about the instruction of computing machine or the hardware of data.For example, disk, tape, such as the such optically-readable media of CDROM, and such as the such semiconductor memory of PCMCIA (PCMCIA (personal computer memory card international association)) card.Under each situation, this medium can be taked the form such as the such portable object of minidisk, floppy disk, magnetic tape cassette, or takes the form such as the such relatively large or mounting article of hard disk drive, solid-state memory card or RAM.
Information: comprise document that can search for, the user's interest content, webpage, Email, iamge description, transcript, storage text etc., for example, with relevant contents such as news article, news group messages, network logs.
Module: software or the nextport hardware component NextPort of carrying out particular step and/or processing procedure; Can realize in the software on operating in general processor.
Natural language: wish by the people but not the word that machine or computing machine are understood is expressed.
Network: be configured to by use the interconnection system of the equipment that specific protocol communicates on communication channel.It can be a LAN (Local Area Network), wide area network, the Internet or on communication line or the similar network by wireless transmission work.
Inquiry: a row keyword of the Search Results that expression requires; Can use Boolean operator (for example " with ", " or "); Can represent with natural language.
Enquiry module: hardware or the component software of handling an inquiry.
Search engine: response provides the hardware or the component software of the Search Results that relates to this user's interest information from user's inquiry.Can arrange and/or the classified inquiry result according to relevance.
With reference to Fig. 1, with numeral 10 whole indications and an information retrieval system that embodiment is relevant.This system comprises an information bank 12 that can pass through network 14 visits.Can also use other known access methods.Information bank 12 can comprise document, webpage, database etc.Preferably, this network 14 is the Internets, and information bank 12 comprises webpage.When network 14 was the Internet, this agreement comprised TCP/IP (transmission control protocol/procotol).Various client computer 16 are connected to network 14 by the circuit under the physical network situation or by wireless launcher and receiver.Each client computer 16 comprises that is a network interface understood by one of ordinary skill in the art.Network 14 provides visit to content in the information bank 12 for client computer 16.In order to make client computer 16 can in information bank 12, find information specific, document, webpage etc., system 10 to be configured to allow client computer 16 to come search information by submitting inquiry to.This inquiry comprises at least one row keyword, but also have take such as " with " and " or " structure of the form of such boolean relation.Can also in natural language, constitute described inquiry as sentence (sentence) or enquirement (question).
This system comprises search engine 20, and it is connected to network 14 and receives from the inquiry of client computer 16 with the single document in their navigation information storehouses 12.Search engine 20 may be implemented as specialized hardware, or operates in the software on the general processor.The operation of this search engine with in the locating information storehouse 12 with from the relevant document of the inquiry of client computer.
Alternatively and for higher computing velocity, search engine 20 can comprise the processor of a plurality of concurrent workings or any other multiprocessing structure.Use a plurality of processors can make search engine 20 division task in a plurality of processors like this.In addition, as skilled in the art to understand, described a plurality of processors needn't be placed in same position physically, and can will be provided with discretely on their geography and interconnect on network.
Preferably, search engine 20 comprises database 30, and described database 30 is used to store the index of the meaning of a word and store by search engine 20 employed knowledge bases.As skilled in the art to understand, database 30 is effectively stored and is searched to realize calculating ground with structured way storage index.Can be by adding other keyword senses may or the existing keyword senses may of other document reference being come more new database 30.Database 30 also provides a kind of can determine which document comprises the ability of searching of specific keyword senses may.Can also be for higher efficient dividing data storehouse 30 and in a plurality of positions, storing.
According to an embodiment, search engine 20 comprises a word that is used for handling the input document or to the word sense disambiguation module 32 of the inquiry of the meaning of a word.The meaning of a word is to consider context (context) that word uses and adjacent words thereof and the particular explanation of giving this word.For example, word " book " sentence " subscribes to the flight (Book me a flight to New York) in New York " for me in is an ambiguity, because " book " can be a noun or verb, each of this noun or verb all has a plurality of potential implications.The result who is carried out the word processing by disambiguation module 32 is the document or the inquiry of disambiguation of disambiguation that comprises the meaning of a word, rather than ambiguity or unaccounted word.This input document can be any message unit in the information bank or from the inquiry that client computer receives.Word sense disambiguation module 32 is distinguished the meaning of a word for each word in document or the inquiry.Word sense disambiguation module 32 determines that by using the language technology (interlinked linguistic technique) that interconnects widely which specific meanings of word is that desired implication is with grammer in the analysis context (for example part of speech, grammatical relation) and semanteme (for example logical relation).Word sense disambiguation module 32 can use the knowledge concerning word sense storehouse of semantic relation clear and definite between the expression meaning of a word to be assisted when carrying out the ambiguity elimination.This knowledge base can comprise following with reference to Fig. 3 A and the described relation of 3B.
Referring to Fig. 2, with the relation between the Reference numeral 100 whole indication words and the meaning of a word.From this example as seen, some word has a plurality of implications.In a plurality of other possibilities, word " bank " can be represented: the noun that (i) relates to financial institution; The noun that (ii) relates to the riverbank; The verb that perhaps (iii) relates to a kind of behavior of saving up money.The word " bank " that word sense disambiguation module 32 will have an ambiguity is divided into several meaning of a word with light ambiguity and is used for being stored in index.Similarly, word " interest " has a plurality of implications, comprising: (i) expression relates to the noun of the payable amount of money of a kind of outstanding investment or loan; (ii) represent noun that something/something is paid special attention to; Perhaps (iii) be illustrated in the noun of the legitimate right in something/something.
With reference to Fig. 3 A and Fig. 3 B, shown the example semantic relationships between the meaning of a word.These semantic relations are based on the relationship type between two words of implication institute explication.This relation between the meaning of a word, i.e. the specific meanings of word.
Especially in Fig. 3 A, for example, word " bank " (when getting the implication on riverbank) is a kind of landform and word " bluff " (when getting the noun that means a kind of land structure (land formation)) also is a kind of landform.Word " bank " (when getting the implication on riverbank) is a kind of slope (getting the implication of ground inclination).When the implication of financial institution got in word " bank " with " banking company " or " bank center (banking concern) " synonym.Word " bank " is a kind of financial institution still, and described financial institution also is a kind of business type.In interest payment on the deposit and collect the fact of interest on loan, word " bank " (getting the implication of financial institution) relates to word " interest " (being taken as the implication of the money of investment payment) and also relates to word " loan " (when getting the implication of loan) according to the common bank of understanding.
Be to be understood that the spendable semantic relation that has a lot of other types.Although known in the prior art, below be the example of the semantic relation between some words: be in word in the synonym and be exactly the speech of synonym each other.Superordinate term is a kind of relation, and one of them vocabulary shows the specific examples of a whole class.For example " means of transport " is the superordinate term that is used to comprise a class speech of " train ", " battlebus (chariot) ", " sled that dog is drawn " and " automobile ", because these speech provide such other specific examples.Simultaneously, hyponym is a kind of relation, and one of them speech is a member in the class example.According to tabulation before, " train " is the hyponym of " means of transport " classification.Meronym is a kind of relation, and one of them speech is an ingredient, a composition (substance) or member of something or other.For example, about the relation between " leg " and " knee ", " knee " is the meronym of " leg ", because knee is an ingredient of leg.Simultaneously, whole speech is a kind of relation, and one of them speech is be called as a part of meronym whole.According to example before, " leg " is the whole speech of " knee ".Can use any semantic relation that falls into these classification.In addition, can use any known semantic relation of pointing out certain semantic between the meaning of a word and grammatical relation.
There is ambiguity in known the explanation as when inquiry when the character string that keyword is provided, and the lists of keywords that has expansion in inquiry has increased the result's who finds quantity in search.This embodiment provides a kind of system and method to come to determine related, the lists of keywords of disambiguation for inquiring about.Provide such tabulation of describing according to the meaning of a word to reduce the quantity of the irrelevant information of searching.This embodiment has expanded query language and can not obtain unrelated results owing to the extra senses of a word.For example, the implication of " financial institution " of expansion word " bank " can not expanded other implications such as " riverbank " or " saving " simultaneously.This allows information management software to determine the information that the client is searching more accurately.
Expand an inquiry and relate to following one or two step of use:
To one the searching keyword justice of disambiguation add other words and the relevant implication of this word, the implication that described this word is relevant is meant and the semantically relevant implication of implication of the keyword of disambiguation.
2. explain this inquiry and convert thereof into other semantic inquiries that equates by resolving its syntactic structure.Index comprise determine the keyword senses may from the syntactic structure of this information, derive between semantic subordinative field.Explanation is term well known in the art and notion.
It is also recognized that and in search, use semantic ambiguity to eliminate the problem that has solved retrieval relevance.In addition, the user often expresses inquiry as representation language.Yet,,, wherein related information is carried out preliminary classification with this ad hoc fashion so the user just meets with difficulty when they do not express an inquiry with same ad hoc fashion owing to can describe identical implication with different ways.
For example, if the user is searching the information of relevant island " Java (Java) ", and interested in " holiday (holidays) " on Java (island), the user just can not search the useful document by using keyword " Java (Java) " and " (vacation) has a holiday " to classify so.Will be appreciated that, solved this problem according to the semantic extension characteristic of embodiment.Have realized that in the inquiry of expressing naturally to derive accurate synonym and sub-notion (sub-concept) of each Key Term and increased the capacity that relevance is searched.If will worsen this result by using vocabulary (thesaurus) to carry out to search and do not carry out semantic ambiguity to eliminate.For example, semantically expand word " Java " and do not determine at first that its accurate implication will produce results set extensive and that be difficult to handle, this set has the result who selectes based on the different meaning of a word potentially, and the described different meaning of a word for example is an Indonesia " and " computer programming ".The method that the implication that also will understand described each word of explanation is semantically expanded this implication is then returned one and is had more multiobject results set more comprehensively simultaneously.
With reference to Fig. 3 B, in order to help to eliminate the ambiguity of this meaning of a word, this embodiment uses as above knowledge concerning word sense storehouse 400 for the described acquisition word relationship of Fig. 3 A.Knowledge base 400 is associated with database 300 and eliminates to help WSD module 32 to carry out semantic ambiguity by visit.Knowledge base 400 comprises the definition for the speech of each meaning of a word of a word, also comprise the meaning of a word between the information of relation.These relations comprise the meaning of a word and the definition of relevant part of speech (noun, verb etc.), meticulous meaning of a word synonym, antonym, hyponym, meronym, the adjective (pertainym) relevant with noun, similar adjective relation and other relations well known in the prior art.When electronic dictionary that in system, has used prior art and lexical data base, WordNet (trade mark) for example, knowledge base 400 provides the word of enhancing and the catalogue of relation.Knowledge base 400 comprises: (i) additional relationships between the meaning of a word, for example meticulous implication is returned and be incorporated into rough implication, morpheme (morphological) relation of novel flexion (inflectional) and derivation (derivational), and the semantic relation of other specific uses; (ii) to extensive correction from the mistake in the data of publication source (publishedsource); And (iii) non-existent other word, the meaning of a word and correlationship in other prior art knowledge bases.
In this embodiment, knowledge base 400 is graphic data structures of a kind of summary and realizes with the relevant edge relation table 404 that is connected two nodes as node table 402.Each all is described successively.In other embodiments, can also use other to realize knowledge base 400 such as the such data structure of lists of links.
In table 402, each node is row element of table 402.The record of each node can have the following field of as many as: id field 406, type field 408 and comment field 410.In table 402, there are two types clauses and subclauses: word and sense definition.For example, determine that by the clauses and subclauses among the type field 408A " word " word " bank " among the id field 406A is a word.In addition, exemplary table 402 provides a plurality of definition of word.For described definition is classified and differentiation table 402 in word entries and definition entries, can use label to determine definition entries.For example, the clauses and subclauses among the id field 406B are labeled as " label 001 ".A corresponding definition among the type field 408B is " meticulous implication " word relationship with this label.Corresponding clauses and subclauses among the comment field 410B are " noun, financial institution " with this label.Word " bank " can be connected to this sense definition like this, now.In addition, the clauses and subclauses of word " brokerage house (brokerage) " can also be connected to this sense definition.Another embodiment can use the common word that has additional suffix, so that this sense definition of aid identification.For example, another kind of label can be " bank/n1 ", and wherein suffix "/n1 " shows that this label is noun and is first implication of this noun.Be to be understood that and use other forms of label.Can use other identifiers to determine adjective, adverbial word and other parts of speech.Clauses and subclauses in type field 408 have been determined the type relevant with word.There is multiple effective type in a word, comprising: word, meticulous implication and rough implication.Other types can also be provided.In the present embodiment, when a word example had a meticulous implication, this example also has clauses and subclauses in the comment field 410 provided more details about this word example.
Edge/relations table 404 comprises the record that concerns between two clauses and subclauses in the expression node table 402.Table 404 has following clauses and subclauses: source node ID hurdle 412, destination node ID hurdle 414, type column 416 and comment field 418.Hurdle 412 is used for clauses and subclauses in the connection table 402 with hurdle 414.The relationship type of two clauses and subclauses is determined to connect in hurdle 416.Record have source node and destination node I D, relation type and may have note based on the type.The type of relation comprises " the root word is to word ", " word is to meticulous implication ", " word is to rough implication ", " rough implication is to meticulous implication ", " deriving ", " hyponym ", " classification ", " adjective relevant with noun ", " similar ", " having part ".Can also write down other relations therein.It is that a given part of speech determines a kind of from a word node to rough node or the edge type of meticulous node that clauses and subclauses in the comment field 418 provide (numeral) key.
Provide now to about this embodiment by utilizing the execution in step more detailed description of carrying out a search according to the result of the ambiguity of eliminating a word relevant with inquiry.With reference to Fig. 4, integrally indicate the process of carrying out such search by Reference numeral 300.This process can be divided into two general stages.Phase one comprises the subordinate phase that the information of anticipating (or subclass of information) comes assistance response to inquire about.In the phase one pre-service, each document in the summary information storehouse (or subclass of information bank) is created the index in the database.In step 302, word sense disambiguation module 32 is carried out differentiation between the meaning of a word to each word in each document.Described word sense disambiguation module 32 defined in front.
Then in step 304, thereby the information that search engine is applied to disambiguation with index module obtains the index of keyword senses may.Index module 34 by handling disambiguation document and add each keyword senses may to index and create this index.Some keyword can occur too many inferior and useless, for example " a " or " the ".Preferably, these keywords are not carried out index.Should be appreciated that this step effectively word of index be used as several different meaning of a word.In step 306, with the index stores of the meaning of a word in database.
In the subordinate phase of this processing, in step 308, search engine receives the inquiry from a client computer in the client computer.This query parse is become word components, can analyze its context together to each its context of word separate analysis and word adjacent thereto then.Analytic technique to word strings is known in the art, here no longer repeats.In step 310, word sense disambiguation module 32 is distinguished for the implication of each word in this inquiry.
In a preferred embodiment, shown in step 312 by using knowledge base 400 (Fig. 3 B), the search engine expansion and explain this disambiguation inquiry with comprise with this inquiry in the specific relevant keyword senses may of keyword senses may semanteme.On basis of word sense, carry out this expansion and correspondingly produce a row meaning of a word relevant with the implication of this inquiry.This semantic relation can be above with reference to Fig. 3 A and Fig. 3 B described those.
In step 314, search engine is with disambiguation and the inquiry of having expanded and the word sense information in the database compare then.The clauses and subclauses of the keyword senses may coupling in the selection knowledge base in its meaning of a word and this inquiry as a result of.As mentioned above, this knowledge base comprises the database of the document of index.In step 316, search engine turns back to client computer with the result then.In one embodiment, can this result be weighted according to the semantic relation between the meaning of a word of keyword in the meaning of a word of being found among this result and this inquiry.Therefore, for example, than the result who comprises the meaning of a word with a kind of hyponymy, one comprise with this inquiry in the result of keyword senses may with meaning of a word of synonymy can be endowed higher weighted value.Can also be weighted this result by probability, this probability is correct probability for a keyword senses may in the document of the inquiry of disambiguation and/or disambiguation.Can also by with this corresponding as a result such as related meaning of a word frequency or each other the such document in position or other characteristics of webpage come this result is weighted, perhaps come this result is weighted for the technology that is used for rank results understood by one of ordinary skill in the art by other.
Will be appreciated that, can before mutual, carry out the phase one of this processing as pre-computation step with client computer.Can repeatedly carry out subordinate phase and need not the repetition phase one.Can be once in a while or regularly carry out the circulation (currency) that the phase one keeps database.Can also upgrade this database by selecting that the subclass of this information is carried out phase one increment ground.
Although with reference to some specific embodiments the present invention is described, those skilled in the art are very clear can to carry out multiple variation under the situation of the scope of the invention that does not break away from appended claim to be summarized.Those skilled in the art have sufficient understanding to following one or more specialty: computer programming, machine learning and Computational Linguistics.
Claims (10)
1. method of using inquiry search information in database said method comprising the steps of:
In described database, eliminate the ambiguity of information according to the keyword senses may of word;
According to described keyword senses may described information of index in described database;
The ambiguity of eliminating this inquiry is to determine the specific keyword senses may relevant with this inquiry;
Expand this specific keyword senses may to comprise the keyword senses may tabulation of creating an expansion about the relevant semantic relation of this specific keyword senses may;
Thereby use the keyword senses may search database of expansion to find relevant information for this inquiry; And
The described Search Results that comprises information is provided, and this information comprises keyword senses may and other semantic relevant meaning of a word.
2. according to the method for the described use inquiry of claim 1 search information in database, the ambiguity of wherein eliminating inquiry comprises to described keyword senses may allocation probability.
3. according to the method for the described use inquiry of claim 2 search information in database, the ambiguity of wherein eliminating described information in described database is included as keyword senses may and adds probability.
4. according to the method for the described use of claim 3 inquiry search information in database, the ambiguity of wherein eliminating this inquiry also comprises the probability that uses each described specific keyword senses may to determine specific keyword senses may.
5. according to the method for the described use inquiry of claim 4 search information in database, the described specific keyword senses may of wherein said expansion also comprises by the syntactic structure of resolving specific keyword senses may to be explained this inquiry and determines other semantic inquiries that equates.
6. according to the method for the described use inquiry of claim 5 search information in database, wherein said keyword senses may is represented the rough grouping of fine keyword senses.
7. according to the method for the described use inquiry of claim 1 search information in database, wherein said keyword senses may is represented the rough grouping of fine keyword senses.
8. one kind responds inquiry and provides the system of information from database, and described system comprises:
A database comprises by the data of this query search;
An index module will be for being inquired about cross index of employed data creation by this;
A query processing module is applied to described database with described inquiry;
A disambiguation module, the ambiguity that is used to eliminate inquiry to be determining the keyword senses may relevant with this inquiry,
Wherein
Described index module is according to described keyword senses may described information of index in described database;
Described disambiguation module is eliminated the ambiguity of information in described database according to described keyword senses may;
Thereby described query processing module is expanded described keyword senses may and is created the keyword senses may tabulation of an expansion to comprise the relevant semantic relation that is used for described keyword senses may, begins the search of described database so that find relevant information for this inquiry by the keyword senses may of using expansion; And provide the described Search Results that comprises information, this information to comprise the semantic relevant meaning of a word of keyword senses may and other.
9. inquire about the system that information is provided from database according to the described response of claim 8, wherein said disambiguation module arranges described keyword senses may for the keyword senses may allocation probability.
10. inquire about the system that information is provided from database according to the described response of claim 9, wherein this keyword senses may is represented the rough grouping of fine keyword senses.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US49668103P | 2003-08-21 | 2003-08-21 | |
| US60/496,681 | 2003-08-21 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1839386A true CN1839386A (en) | 2006-09-27 |
| CN100580666C CN100580666C (en) | 2010-01-13 |
Family
ID=34216034
Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2004800312332A Expired - Fee Related CN1871597B (en) | 2003-08-21 | 2004-08-20 | System and method for associating documents with contextual advertisements |
| CN200480023961A Expired - Fee Related CN100580666C (en) | 2003-08-21 | 2004-08-20 | Method and system for searching semantic disambiguation information by using semantic disambiguation investigation |
| CN200480031158XA Expired - Fee Related CN1871603B (en) | 2003-08-21 | 2004-08-20 | System and method for processing a query |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2004800312332A Expired - Fee Related CN1871597B (en) | 2003-08-21 | 2004-08-20 | System and method for associating documents with contextual advertisements |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200480031158XA Expired - Fee Related CN1871603B (en) | 2003-08-21 | 2004-08-20 | System and method for processing a query |
Country Status (5)
| Country | Link |
|---|---|
| US (4) | US7895221B2 (en) |
| EP (3) | EP1665092A4 (en) |
| CN (3) | CN1871597B (en) |
| CA (3) | CA2536270A1 (en) |
| WO (3) | WO2005020092A1 (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008055428A1 (en) * | 2006-11-09 | 2008-05-15 | Huawei Technologies Co., Ltd. | A network search method, system and device |
| CN101840397A (en) * | 2009-03-20 | 2010-09-22 | 日电（中国）有限公司 | Word sense disambiguation method and system |
| US8108405B2 (en) | 2007-10-05 | 2012-01-31 | Fujitsu Limited | Refining a search space in response to user input |
| CN101404019B (en) * | 2007-10-05 | 2012-06-13 | 富士通株式会社 | Implementing an expanded search and providing expanded search results |
| CN102750277A (en) * | 2011-04-18 | 2012-10-24 | 腾讯科技（深圳）有限公司 | Method and device for obtaining information |
| CN101878476B (en) * | 2007-06-22 | 2013-03-06 | 谷歌公司 | Machine translation for query expansion |
| US8543380B2 (en) | 2007-10-05 | 2013-09-24 | Fujitsu Limited | Determining a document specificity |
| CN103914476A (en) * | 2013-01-05 | 2014-07-09 | 北京百度网讯科技有限公司 | Search guiding method and search engine |
| CN104978878A (en) * | 2015-06-26 | 2015-10-14 | 苏州点通教育科技有限公司 | Microlecture teaching system and method |
| CN102750277B (en) * | 2011-04-18 | 2016-12-14 | 深圳市世纪光速信息技术有限公司 | The method and apparatus of acquisition information |
| CN108509449A (en) * | 2017-02-24 | 2018-09-07 | 腾讯科技（深圳）有限公司 | A kind of method and server of information processing |
| CN112487790A (en) * | 2019-09-11 | 2021-03-12 | 甲骨文国际公司 | Improved semantic parser including coarse semantic parser and fine semantic parser |
Families Citing this family (499)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060116865A1 (en) | 1999-09-17 | 2006-06-01 | Www.Uniscape.Com | E-services translation utilizing machine translation and translation memory |
| US8645137B2 (en) | 2000-03-16 | 2014-02-04 | Apple Inc. | Fast, language-independent method for user authentication by voice |
| US6804662B1 (en) * | 2000-10-27 | 2004-10-12 | Plumtree Software, Inc. | Method and apparatus for query and analysis |
| US7904595B2 (en) | 2001-01-18 | 2011-03-08 | Sdl International America Incorporated | Globalization management system and method therefor |
| US7185271B2 (en) * | 2002-08-20 | 2007-02-27 | Hewlett-Packard Development Company, L.P. | Methods and systems for implementing auto-complete in a web page |
| US20070136251A1 (en) * | 2003-08-21 | 2007-06-14 | Idilia Inc. | System and Method for Processing a Query |
| US7548910B1 (en) * | 2004-01-30 | 2009-06-16 | The Regents Of The University Of California | System and method for retrieving scenario-specific documents |
| US7983896B2 (en) | 2004-03-05 | 2011-07-19 | SDL Language Technology | In-context exact (ICE) matching |
| US7421441B1 (en) * | 2005-09-20 | 2008-09-02 | Yahoo! Inc. | Systems and methods for presenting information based on publisher-selected labels |
| US7856441B1 (en) * | 2005-01-10 | 2010-12-21 | Yahoo! Inc. | Search systems and methods using enhanced contextual queries |
| US7958115B2 (en) * | 2004-07-29 | 2011-06-07 | Yahoo! Inc. | Search systems and methods using in-line contextual queries |
| US7603349B1 (en) | 2004-07-29 | 2009-10-13 | Yahoo! Inc. | User interfaces for search systems using in-line contextual queries |
| US8972856B2 (en) * | 2004-07-29 | 2015-03-03 | Yahoo! Inc. | Document modification by a client-side application |
| US7409402B1 (en) * | 2005-09-20 | 2008-08-05 | Yahoo! Inc. | Systems and methods for presenting advertising content based on publisher-selected labels |
| US20060101504A1 (en) * | 2004-11-09 | 2006-05-11 | Veveo.Tv, Inc. | Method and system for performing searches for television content and channels using a non-intrusive television interface and with reduced text input |
| US20070266406A1 (en) * | 2004-11-09 | 2007-11-15 | Murali Aravamudan | Method and system for performing actions using a non-intrusive television with reduced text input |
| US7895218B2 (en) | 2004-11-09 | 2011-02-22 | Veveo, Inc. | Method and system for performing searches for television content using reduced text input |
| US9137115B2 (en) | 2004-12-06 | 2015-09-15 | Bmc Software, Inc. | System and method for resource reconciliation in an enterprise management system |
| US8683032B2 (en) * | 2004-12-06 | 2014-03-25 | Bmc Software, Inc. | Generic discovery for computer networks |
| US7769579B2 (en) * | 2005-05-31 | 2010-08-03 | Google Inc. | Learning facts from semi-structured text |
| EP1846815A2 (en) * | 2005-01-31 | 2007-10-24 | Textdigger, Inc. | Method and system for semantic search and retrieval of electronic documents |
| WO2006083939A2 (en) * | 2005-01-31 | 2006-08-10 | 4Info, Inc. | Prioritization of search responses system and method |
| EP1851616A2 (en) * | 2005-01-31 | 2007-11-07 | Musgrove Technology Enterprises, LLC | System and method for generating an interlinked taxonomy structure |
| US8150846B2 (en) * | 2005-02-17 | 2012-04-03 | Microsoft Corporation | Content searching and configuration of search results |
| CN1841372A (en) * | 2005-03-29 | 2006-10-04 | 国际商业机器公司 | Method and apparatus for helping user to forming structured diagram according to non-structured information source |
| US7849090B2 (en) | 2005-03-30 | 2010-12-07 | Primal Fusion Inc. | System, method and computer program for faceted classification synthesis |
| US8849860B2 (en) | 2005-03-30 | 2014-09-30 | Primal Fusion Inc. | Systems and methods for applying statistical inference techniques to knowledge representations |
| US9177248B2 (en) | 2005-03-30 | 2015-11-03 | Primal Fusion Inc. | Knowledge representation systems and methods incorporating customization |
| US9378203B2 (en) | 2008-05-01 | 2016-06-28 | Primal Fusion Inc. | Methods and apparatus for providing information of interest to one or more users |
| US10002325B2 (en) | 2005-03-30 | 2018-06-19 | Primal Fusion Inc. | Knowledge representation systems and methods incorporating inference rules |
| US9104779B2 (en) | 2005-03-30 | 2015-08-11 | Primal Fusion Inc. | Systems and methods for analyzing and synthesizing complex knowledge representations |
| US9208229B2 (en) * | 2005-03-31 | 2015-12-08 | Google Inc. | Anchor text summarization for corroboration |
| US7587387B2 (en) | 2005-03-31 | 2009-09-08 | Google Inc. | User interface for facts query engine with snippets from information sources that include query terms and answer terms |
| US8682913B1 (en) | 2005-03-31 | 2014-03-25 | Google Inc. | Corroborating facts extracted from multiple sources |
| US9400838B2 (en) * | 2005-04-11 | 2016-07-26 | Textdigger, Inc. | System and method for searching for a query |
| WO2006113597A2 (en) * | 2005-04-14 | 2006-10-26 | The Regents Of The University Of California | Method for information retrieval |
| US7962504B1 (en) | 2005-05-26 | 2011-06-14 | Aol Inc. | Sourcing terms into a search engine |
| US8996470B1 (en) | 2005-05-31 | 2015-03-31 | Google Inc. | System for ensuring the internal consistency of a fact repository |
| US7702665B2 (en) * | 2005-06-14 | 2010-04-20 | Colloquis, Inc. | Methods and apparatus for evaluating semantic proximity |
| KR100544514B1 (en) * | 2005-06-27 | 2006-01-24 | 엔에이치엔(주) | Method and system for determining search query relevance |
| US7933395B1 (en) | 2005-06-27 | 2011-04-26 | Google Inc. | Virtual tour of user-defined paths in a geographic information system |
| US7826945B2 (en) * | 2005-07-01 | 2010-11-02 | You Zhang | Automobile speech-recognition interface |
| US7788266B2 (en) | 2005-08-26 | 2010-08-31 | Veveo, Inc. | Method and system for processing ambiguous, multi-term search queries |
| US8700404B1 (en) * | 2005-08-27 | 2014-04-15 | At&T Intellectual Property Ii, L.P. | System and method for using semantic and syntactic graphs for utterance classification |
| JPWO2007029348A1 (en) * | 2005-09-06 | 2009-03-12 | コミュニティーエンジン株式会社 | Data extraction system, terminal device, terminal device program, server device, and server device program |
| US8677377B2 (en) | 2005-09-08 | 2014-03-18 | Apple Inc. | Method and apparatus for building an intelligent automated assistant |
| US7711737B2 (en) * | 2005-09-12 | 2010-05-04 | Microsoft Corporation | Multi-document keyphrase extraction using partial mutual information |
| US7620607B1 (en) * | 2005-09-26 | 2009-11-17 | Quintura Inc. | System and method for using a bidirectional neural network to identify sentences for use as document annotations |
| US7475072B1 (en) | 2005-09-26 | 2009-01-06 | Quintura, Inc. | Context-based search visualization and context management using neural networks |
| KR100724122B1 (en) * | 2005-09-28 | 2007-06-04 | 최진근 | Bundled database management system and its management method for storing data association structure |
| US7958124B2 (en) * | 2005-09-28 | 2011-06-07 | Choi Jin-Keun | System and method for managing bundle data database storing data association structure |
| AR056123A1 (en) * | 2005-10-04 | 2007-09-19 | Thomson Global Resources | SYSTEMS, METHODS AND SOFTWARE TO DETERMINE THE AMBIGUITY OF MEDICAL TERMS |
| US10319252B2 (en) | 2005-11-09 | 2019-06-11 | Sdl Inc. | Language capability assessment and training apparatus and techniques |
| US7644054B2 (en) * | 2005-11-23 | 2010-01-05 | Veveo, Inc. | System and method for finding desired results by incremental search using an ambiguous keypad with the input containing orthographic and typographic errors |
| US20080228738A1 (en) * | 2005-12-13 | 2008-09-18 | Wisteme, Llc | Web based open knowledge system with user-editable attributes |
| US7681147B2 (en) * | 2005-12-13 | 2010-03-16 | Yahoo! Inc. | System for determining probable meanings of inputted words |
| US7660786B2 (en) * | 2005-12-14 | 2010-02-09 | Microsoft Corporation | Data independent relevance evaluation utilizing cognitive concept relationship |
| US8694530B2 (en) | 2006-01-03 | 2014-04-08 | Textdigger, Inc. | Search system with query refinement and search method |
| US20070185860A1 (en) * | 2006-01-24 | 2007-08-09 | Michael Lissack | System for searching |
| US8260785B2 (en) | 2006-02-17 | 2012-09-04 | Google Inc. | Automatic object reference identification and linking in a browseable fact repository |
| US8380698B2 (en) * | 2006-02-09 | 2013-02-19 | Ebay Inc. | Methods and systems to generate rules to identify data items |
| US7725417B2 (en) * | 2006-02-09 | 2010-05-25 | Ebay Inc. | Method and system to analyze rules based on popular query coverage |
| US7739225B2 (en) | 2006-02-09 | 2010-06-15 | Ebay Inc. | Method and system to analyze aspect rules based on domain coverage of an aspect-value pair |
| US9443333B2 (en) * | 2006-02-09 | 2016-09-13 | Ebay Inc. | Methods and systems to communicate information |
| US7849047B2 (en) * | 2006-02-09 | 2010-12-07 | Ebay Inc. | Method and system to analyze domain rules based on domain coverage of the domain rules |
| US7739226B2 (en) * | 2006-02-09 | 2010-06-15 | Ebay Inc. | Method and system to analyze aspect rules based on domain coverage of the aspect rules |
| US7640234B2 (en) * | 2006-02-09 | 2009-12-29 | Ebay Inc. | Methods and systems to communicate information |
| US8195683B2 (en) * | 2006-02-28 | 2012-06-05 | Ebay Inc. | Expansion of database search queries |
| US7529741B2 (en) | 2006-03-06 | 2009-05-05 | Veveo, Inc. | Methods and systems for segmenting relative user preferences into fine-grain and coarse-grain collections |
| US7624130B2 (en) * | 2006-03-30 | 2009-11-24 | Microsoft Corporation | System and method for exploring a semantic file network |
| US8073860B2 (en) * | 2006-03-30 | 2011-12-06 | Veveo, Inc. | Method and system for incrementally selecting and providing relevant search engines in response to a user query |
| US20070255693A1 (en) * | 2006-03-30 | 2007-11-01 | Veveo, Inc. | User interface method and system for incrementally searching and selecting content items and for presenting advertising in response to search activities |
| US7634471B2 (en) * | 2006-03-30 | 2009-12-15 | Microsoft Corporation | Adaptive grouping in a file network |
| US9135238B2 (en) * | 2006-03-31 | 2015-09-15 | Google Inc. | Disambiguation of named entities |
| US8862573B2 (en) | 2006-04-04 | 2014-10-14 | Textdigger, Inc. | Search system and method with text function tagging |
| EP2911071A1 (en) | 2006-04-20 | 2015-08-26 | Veveo, Inc. | User interface methods and systems for selecting and presenting content based on user navigation and selection actions associated with the content |
| US8150827B2 (en) * | 2006-06-07 | 2012-04-03 | Renew Data Corp. | Methods for enhancing efficiency and cost effectiveness of first pass review of documents |
| US20080004920A1 (en) * | 2006-06-30 | 2008-01-03 | Unisys Corporation | Airline management system generating routings in real-time |
| US8255383B2 (en) * | 2006-07-14 | 2012-08-28 | Chacha Search, Inc | Method and system for qualifying keywords in query strings |
| US7792967B2 (en) * | 2006-07-14 | 2010-09-07 | Chacha Search, Inc. | Method and system for sharing and accessing resources |
| US7698328B2 (en) * | 2006-08-11 | 2010-04-13 | Apple Inc. | User-directed search refinement |
| US8306326B2 (en) * | 2006-08-30 | 2012-11-06 | Amazon Technologies, Inc. | Method and system for automatically classifying page images |
| US8589869B2 (en) | 2006-09-07 | 2013-11-19 | Wolfram Alpha Llc | Methods and systems for determining a formula |
| US9318108B2 (en) | 2010-01-18 | 2016-04-19 | Apple Inc. | Intelligent automated assistant |
| US20080071533A1 (en) * | 2006-09-14 | 2008-03-20 | Intervoice Limited Partnership | Automatic generation of statistical language models for interactive voice response applications |
| US20080071744A1 (en) * | 2006-09-18 | 2008-03-20 | Elad Yom-Tov | Method and System for Interactively Navigating Search Results |
| WO2008045690A2 (en) | 2006-10-06 | 2008-04-17 | Veveo, Inc. | Linear character selection display interface for ambiguous text input |
| RU2618375C2 (en) * | 2015-07-02 | 2017-05-03 | Общество с ограниченной ответственностью "Аби ИнфоПоиск" | Expanding of information search possibility |
| US9495358B2 (en) | 2006-10-10 | 2016-11-15 | Abbyy Infopoisk Llc | Cross-language text clustering |
| US8214199B2 (en) * | 2006-10-10 | 2012-07-03 | Abbyy Software, Ltd. | Systems for translating sentences between languages using language-independent semantic structures and ratings of syntactic constructions |
| US9633005B2 (en) | 2006-10-10 | 2017-04-25 | Abbyy Infopoisk Llc | Exhaustive automatic processing of textual information |
| US9645993B2 (en) * | 2006-10-10 | 2017-05-09 | Abbyy Infopoisk Llc | Method and system for semantic searching |
| US9892111B2 (en) | 2006-10-10 | 2018-02-13 | Abbyy Production Llc | Method and device to estimate similarity between documents having multiple segments |
| US20080086298A1 (en) * | 2006-10-10 | 2008-04-10 | Anisimovich Konstantin | Method and system for translating sentences between langauges |
| US9235573B2 (en) | 2006-10-10 | 2016-01-12 | Abbyy Infopoisk Llc | Universal difference measure |
| US8145473B2 (en) | 2006-10-10 | 2012-03-27 | Abbyy Software Ltd. | Deep model statistics method for machine translation |
| US9047275B2 (en) | 2006-10-10 | 2015-06-02 | Abbyy Infopoisk Llc | Methods and systems for alignment of parallel text corpora |
| US9075864B2 (en) | 2006-10-10 | 2015-07-07 | Abbyy Infopoisk Llc | Method and system for semantic searching using syntactic and semantic analysis |
| US8548795B2 (en) * | 2006-10-10 | 2013-10-01 | Abbyy Software Ltd. | Method for translating documents from one language into another using a database of translations, a terminology dictionary, a translation dictionary, and a machine translation system |
| US9069750B2 (en) | 2006-10-10 | 2015-06-30 | Abbyy Infopoisk Llc | Method and system for semantic searching of natural language texts |
| US9984071B2 (en) | 2006-10-10 | 2018-05-29 | Abbyy Production Llc | Language ambiguity detection of text |
| US9189482B2 (en) | 2012-10-10 | 2015-11-17 | Abbyy Infopoisk Llc | Similar document search |
| US9098489B2 (en) | 2006-10-10 | 2015-08-04 | Abbyy Infopoisk Llc | Method and system for semantic searching |
| US8195447B2 (en) | 2006-10-10 | 2012-06-05 | Abbyy Software Ltd. | Translating sentences between languages using language-independent semantic structures and ratings of syntactic constructions |
| US8122026B1 (en) | 2006-10-20 | 2012-02-21 | Google Inc. | Finding and disambiguating references to entities on web pages |
| US8359190B2 (en) * | 2006-10-27 | 2013-01-22 | Hewlett-Packard Development Company, L.P. | Identifying semantic positions of portions of a text |
| US7734623B2 (en) * | 2006-11-07 | 2010-06-08 | Cycorp, Inc. | Semantics-based method and apparatus for document analysis |
| US8078884B2 (en) | 2006-11-13 | 2011-12-13 | Veveo, Inc. | Method of and system for selecting and presenting content based on user identification |
| FI20060995A0 (en) * | 2006-11-13 | 2006-11-13 | Tiksis Technologies Oy | Treatment of natural language |
| US8635203B2 (en) * | 2006-11-16 | 2014-01-21 | Yahoo! Inc. | Systems and methods using query patterns to disambiguate query intent |
| US8131546B1 (en) * | 2007-01-03 | 2012-03-06 | Stored Iq, Inc. | System and method for adaptive sentence boundary disambiguation |
| US8600736B2 (en) * | 2007-01-04 | 2013-12-03 | Thinking Solutions Pty Ltd | Linguistic analysis |
| US9093073B1 (en) * | 2007-02-12 | 2015-07-28 | West Corporation | Automatic speech recognition tagging |
| US7437370B1 (en) * | 2007-02-19 | 2008-10-14 | Quintura, Inc. | Search engine graphical interface using maps and images |
| US8112402B2 (en) * | 2007-02-26 | 2012-02-07 | Microsoft Corporation | Automatic disambiguation based on a reference resource |
| US8347202B1 (en) | 2007-03-14 | 2013-01-01 | Google Inc. | Determining geographic locations for place names in a fact repository |
| WO2008113045A1 (en) | 2007-03-14 | 2008-09-18 | Evri Inc. | Query templates and labeled search tip system, methods, and techniques |
| US8959011B2 (en) | 2007-03-22 | 2015-02-17 | Abbyy Infopoisk Llc | Indicating and correcting errors in machine translation systems |
| US20080235216A1 (en) * | 2007-03-23 | 2008-09-25 | Ruttenberg Steven E | Method of predicitng affinity between entities |
| US8977255B2 (en) | 2007-04-03 | 2015-03-10 | Apple Inc. | Method and system for operating a multi-function portable electronic device using voice-activation |
| US7809714B1 (en) | 2007-04-30 | 2010-10-05 | Lawrence Richard Smith | Process for enhancing queries for information retrieval |
| US8190422B2 (en) * | 2007-05-20 | 2012-05-29 | George Mason Intellectual Properties, Inc. | Semantic cognitive map |
| US20080313574A1 (en) * | 2007-05-25 | 2008-12-18 | Veveo, Inc. | System and method for search with reduced physical interaction requirements |
| WO2008148012A1 (en) | 2007-05-25 | 2008-12-04 | Veveo, Inc. | System and method for text disambiguation and context designation in incremental search |
| US8812296B2 (en) | 2007-06-27 | 2014-08-19 | Abbyy Infopoisk Llc | Method and system for natural language dictionary generation |
| US7970766B1 (en) | 2007-07-23 | 2011-06-28 | Google Inc. | Entity type assignment |
| US8463593B2 (en) * | 2007-08-31 | 2013-06-11 | Microsoft Corporation | Natural language hypernym weighting for word sense disambiguation |
| US8280721B2 (en) * | 2007-08-31 | 2012-10-02 | Microsoft Corporation | Efficiently representing word sense probabilities |
| US20090094210A1 (en) * | 2007-10-05 | 2009-04-09 | Fujitsu Limited | Intelligently sorted search results |
| US8145660B2 (en) * | 2007-10-05 | 2012-03-27 | Fujitsu Limited | Implementing an expanded search and providing expanded search results |
| US8594996B2 (en) | 2007-10-17 | 2013-11-26 | Evri Inc. | NLP-based entity recognition and disambiguation |
| WO2009059297A1 (en) * | 2007-11-01 | 2009-05-07 | Textdigger, Inc. | Method and apparatus for automated tag generation for digital content |
| US8812435B1 (en) | 2007-11-16 | 2014-08-19 | Google Inc. | Learning objects and facts from documents |
| US8943539B2 (en) | 2007-11-21 | 2015-01-27 | Rovi Guides, Inc. | Enabling a friend to remotely modify user data |
| US8019772B2 (en) * | 2007-12-05 | 2011-09-13 | International Business Machines Corporation | Computer method and apparatus for tag pre-search in social software |
| US8275607B2 (en) * | 2007-12-12 | 2012-09-25 | Microsoft Corporation | Semi-supervised part-of-speech tagging |
| US9501467B2 (en) | 2007-12-21 | 2016-11-22 | Thomson Reuters Global Resources | Systems, methods, software and interfaces for entity extraction and resolution and tagging |
| US9330720B2 (en) | 2008-01-03 | 2016-05-03 | Apple Inc. | Methods and apparatus for altering audio output signals |
| US8577894B2 (en) | 2008-01-25 | 2013-11-05 | Chacha Search, Inc | Method and system for access to restricted resources |
| EP2257896B1 (en) | 2008-01-30 | 2021-07-14 | Thomson Reuters Enterprise Centre GmbH | Financial event and relationship extraction |
| US8392436B2 (en) * | 2008-02-07 | 2013-03-05 | Nec Laboratories America, Inc. | Semantic search via role labeling |
| US10269024B2 (en) * | 2008-02-08 | 2019-04-23 | Outbrain Inc. | Systems and methods for identifying and measuring trends in consumer content demand within vertically associated websites and related content |
| US20090234638A1 (en) * | 2008-03-14 | 2009-09-17 | Microsoft Corporation | Use of a Speech Grammar to Recognize Instant Message Input |
| US8180754B1 (en) * | 2008-04-01 | 2012-05-15 | Dranias Development Llc | Semantic neural network for aggregating query searches |
| US8112431B2 (en) * | 2008-04-03 | 2012-02-07 | Ebay Inc. | Method and system for processing search requests |
| US8996376B2 (en) | 2008-04-05 | 2015-03-31 | Apple Inc. | Intelligent text-to-speech conversion |
| WO2009132442A1 (en) | 2008-05-01 | 2009-11-05 | Sweeney Peter | Method, system, and computer program for user-driven dynamic generation of semantic networks and media synthesis |
| US8676732B2 (en) | 2008-05-01 | 2014-03-18 | Primal Fusion Inc. | Methods and apparatus for providing information of interest to one or more users |
| US9361365B2 (en) | 2008-05-01 | 2016-06-07 | Primal Fusion Inc. | Methods and apparatus for searching of content using semantic synthesis |
| US10496753B2 (en) | 2010-01-18 | 2019-12-03 | Apple Inc. | Automatically adapting user interfaces for hands-free interaction |
| US20090307003A1 (en) * | 2008-05-16 | 2009-12-10 | Daniel Benyamin | Social advertisement network |
| US20090326922A1 (en) * | 2008-06-30 | 2009-12-31 | International Business Machines Corporation | Client side reconciliation of typographical errors in messages from input-limited devices |
| US20100030549A1 (en) | 2008-07-31 | 2010-02-04 | Lee Michael M | Mobile device having human language translation capability with positional feedback |
| US9262409B2 (en) | 2008-08-06 | 2016-02-16 | Abbyy Infopoisk Llc | Translation of a selected text fragment of a screen |
| US20120166414A1 (en) * | 2008-08-11 | 2012-06-28 | Ultra Unilimited Corporation (dba Publish) | Systems and methods for relevance scoring |
| EP2329406A1 (en) | 2008-08-29 | 2011-06-08 | Primal Fusion Inc. | Systems and methods for semantic concept definition and semantic concept relationship synthesis utilizing existing domain definitions |
| GB2463669A (en) * | 2008-09-19 | 2010-03-24 | Motorola Inc | Using a semantic graph to expand characterising terms of a content item and achieve targeted selection of associated content items |
| US9092517B2 (en) * | 2008-09-23 | 2015-07-28 | Microsoft Technology Licensing, Llc | Generating synonyms based on query log data |
| US20100131513A1 (en) | 2008-10-23 | 2010-05-27 | Lundberg Steven W | Patent mapping |
| WO2010061507A1 (en) * | 2008-11-28 | 2010-06-03 | 日本電気株式会社 | Language model creation device |
| WO2010077714A2 (en) * | 2008-12-09 | 2010-07-08 | University Of Houston System | Word sense disambiguation |
| WO2010067118A1 (en) * | 2008-12-11 | 2010-06-17 | Novauris Technologies Limited | Speech recognition involving a mobile device |
| US10831724B2 (en) * | 2008-12-19 | 2020-11-10 | Bmc Software, Inc. | Method of reconciling resources in the metadata hierarchy |
| US8108393B2 (en) * | 2009-01-09 | 2012-01-31 | Hulu Llc | Method and apparatus for searching media program databases |
| US8463806B2 (en) | 2009-01-30 | 2013-06-11 | Lexisnexis | Methods and systems for creating and using an adaptive thesaurus |
| US20100217768A1 (en) * | 2009-02-20 | 2010-08-26 | Hong Yu | Query System for Biomedical Literature Using Keyword Weighted Queries |
| US20110301941A1 (en) * | 2009-03-20 | 2011-12-08 | Syl Research Limited | Natural language processing method and system |
| GB201016385D0 (en) * | 2010-09-29 | 2010-11-10 | Touchtype Ltd | System and method for inputting text into electronic devices |
| US8712774B2 (en) * | 2009-03-30 | 2014-04-29 | Nuance Communications, Inc. | Systems and methods for generating a hybrid text string from two or more text strings generated by multiple automated speech recognition systems |
| US20100281025A1 (en) * | 2009-05-04 | 2010-11-04 | Motorola, Inc. | Method and system for recommendation of content items |
| US20100293179A1 (en) * | 2009-05-14 | 2010-11-18 | Microsoft Corporation | Identifying synonyms of entities using web search |
| US8601015B1 (en) | 2009-05-15 | 2013-12-03 | Wolfram Alpha Llc | Dynamic example generation for queries |
| US8504550B2 (en) * | 2009-05-15 | 2013-08-06 | Citizennet Inc. | Social network message categorization systems and methods |
| US8788524B1 (en) | 2009-05-15 | 2014-07-22 | Wolfram Alpha Llc | Method and system for responding to queries in an imprecise syntax |
| CN101901210A (en) * | 2009-05-25 | 2010-12-01 | 日电（中国）有限公司 | Word meaning disambiguating system and method |
| US8533203B2 (en) * | 2009-06-04 | 2013-09-10 | Microsoft Corporation | Identifying synonyms of entities using a document collection |
| US10255566B2 (en) | 2011-06-03 | 2019-04-09 | Apple Inc. | Generating and processing task items that represent tasks to perform |
| US10241752B2 (en) | 2011-09-30 | 2019-03-26 | Apple Inc. | Interface for a virtual digital assistant |
| US10241644B2 (en) | 2011-06-03 | 2019-03-26 | Apple Inc. | Actionable reminder entries |
| US9858925B2 (en) | 2009-06-05 | 2018-01-02 | Apple Inc. | Using context information to facilitate processing of commands in a virtual assistant |
| US8370275B2 (en) | 2009-06-30 | 2013-02-05 | International Business Machines Corporation | Detecting factual inconsistencies between a document and a fact-base |
| US9431006B2 (en) | 2009-07-02 | 2016-08-30 | Apple Inc. | Methods and apparatuses for automatic speech recognition |
| TWI412277B (en) * | 2009-08-10 | 2013-10-11 | Univ Nat Cheng Kung | Video summarization method based on mining the story-structure and semantic relations among concept entities |
| US20110040604A1 (en) * | 2009-08-13 | 2011-02-17 | Vertical Acuity, Inc. | Systems and Methods for Providing Targeted Content |
| US9396485B2 (en) * | 2009-12-24 | 2016-07-19 | Outbrain Inc. | Systems and methods for presenting content |
| EP2341450A1 (en) * | 2009-08-21 | 2011-07-06 | Mikko Kalervo Väänänen | Method and means for data searching and language translation |
| US9292855B2 (en) | 2009-09-08 | 2016-03-22 | Primal Fusion Inc. | Synthesizing messaging using context provided by consumers |
| US8380697B2 (en) * | 2009-10-21 | 2013-02-19 | Citizennet Inc. | Search and retrieval methods and systems of short messages utilizing messaging context and keyword frequency |
| US11023675B1 (en) | 2009-11-03 | 2021-06-01 | Alphasense OY | User interface for use with a search engine for searching financial related documents |
| US9262520B2 (en) | 2009-11-10 | 2016-02-16 | Primal Fusion Inc. | System, method and computer program for creating and manipulating data structures using an interactive graphical interface |
| US20110119047A1 (en) * | 2009-11-19 | 2011-05-19 | Tatu Ylonen Oy Ltd | Joint disambiguation of the meaning of a natural language expression |
| US8504355B2 (en) * | 2009-11-20 | 2013-08-06 | Clausal Computing Oy | Joint disambiguation of syntactic and semantic ambiguity |
| US9208259B2 (en) * | 2009-12-02 | 2015-12-08 | International Business Machines Corporation | Using symbols to search local and remote data stores |
| US8554854B2 (en) | 2009-12-11 | 2013-10-08 | Citizennet Inc. | Systems and methods for identifying terms relevant to web pages using social network messages |
| US8725717B2 (en) * | 2009-12-23 | 2014-05-13 | Palo Alto Research Center Incorporated | System and method for identifying topics for short text communications |
| US10713666B2 (en) | 2009-12-24 | 2020-07-14 | Outbrain Inc. | Systems and methods for curating content |
| US10607235B2 (en) * | 2009-12-24 | 2020-03-31 | Outbrain Inc. | Systems and methods for curating content |
| US20110197137A1 (en) * | 2009-12-24 | 2011-08-11 | Vertical Acuity, Inc. | Systems and Methods for Rating Content |
| US20110161091A1 (en) * | 2009-12-24 | 2011-06-30 | Vertical Acuity, Inc. | Systems and Methods for Connecting Entities Through Content |
| US10679605B2 (en) | 2010-01-18 | 2020-06-09 | Apple Inc. | Hands-free list-reading by intelligent automated assistant |
| US10276170B2 (en) | 2010-01-18 | 2019-04-30 | Apple Inc. | Intelligent automated assistant |
| US10705794B2 (en) | 2010-01-18 | 2020-07-07 | Apple Inc. | Automatically adapting user interfaces for hands-free interaction |
| US10553209B2 (en) | 2010-01-18 | 2020-02-04 | Apple Inc. | Systems and methods for hands-free notification summaries |
| US20110191330A1 (en) * | 2010-02-04 | 2011-08-04 | Veveo, Inc. | Method of and System for Enhanced Content Discovery Based on Network and Device Access Behavior |
| US9684683B2 (en) * | 2010-02-09 | 2017-06-20 | Siemens Aktiengesellschaft | Semantic search tool for document tagging, indexing and search |
| US8682667B2 (en) | 2010-02-25 | 2014-03-25 | Apple Inc. | User profiling for selecting user specific voice input processing information |
| US10417646B2 (en) | 2010-03-09 | 2019-09-17 | Sdl Inc. | Predicting the cost associated with translating textual content |
| US8341099B2 (en) | 2010-03-12 | 2012-12-25 | Microsoft Corporation | Semantics update and adaptive interfaces in connection with information as a service |
| US8712979B2 (en) * | 2010-03-26 | 2014-04-29 | Bmc Software, Inc. | Statistical identification of instances during reconciliation process |
| CN102207936B (en) * | 2010-03-30 | 2013-10-23 | 国际商业机器公司 | Method and system for indicating content change of electronic document |
| US8645125B2 (en) | 2010-03-30 | 2014-02-04 | Evri, Inc. | NLP-based systems and methods for providing quotations |
| US9141690B2 (en) * | 2010-05-14 | 2015-09-22 | Salesforce.Com, Inc. | Methods and systems for categorizing data in an on-demand database environment |
| US8484015B1 (en) | 2010-05-14 | 2013-07-09 | Wolfram Alpha Llc | Entity pages |
| US9600566B2 (en) | 2010-05-14 | 2017-03-21 | Microsoft Technology Licensing, Llc | Identifying entity synonyms |
| US20110289025A1 (en) * | 2010-05-19 | 2011-11-24 | Microsoft Corporation | Learning user intent from rule-based training data |
| US9235806B2 (en) | 2010-06-22 | 2016-01-12 | Primal Fusion Inc. | Methods and devices for customizing knowledge representation systems |
| US10474647B2 (en) | 2010-06-22 | 2019-11-12 | Primal Fusion Inc. | Methods and devices for customizing knowledge representation systems |
| US8812298B1 (en) | 2010-07-28 | 2014-08-19 | Wolfram Alpha Llc | Macro replacement of natural language input |
| US9703871B1 (en) | 2010-07-30 | 2017-07-11 | Google Inc. | Generating query refinements using query components |
| US8719006B2 (en) | 2010-08-27 | 2014-05-06 | Apple Inc. | Combined statistical and rule-based part-of-speech tagging for text-to-speech synthesis |
| GB201200643D0 (en) | 2012-01-16 | 2012-02-29 | Touchtype Ltd | System and method for inputting text |
| US9779168B2 (en) | 2010-10-04 | 2017-10-03 | Excalibur Ip, Llc | Contextual quick-picks |
| US9418155B2 (en) * | 2010-10-14 | 2016-08-16 | Microsoft Technology Licensing, Llc | Disambiguation of entities |
| US8612293B2 (en) | 2010-10-19 | 2013-12-17 | Citizennet Inc. | Generation of advertising targeting information based upon affinity information obtained from an online social network |
| US8615434B2 (en) | 2010-10-19 | 2013-12-24 | Citizennet Inc. | Systems and methods for automatically generating campaigns using advertising targeting information based upon affinity information obtained from an online social network |
| US8725739B2 (en) | 2010-11-01 | 2014-05-13 | Evri, Inc. | Category-based content recommendation |
| US20120124028A1 (en) * | 2010-11-12 | 2012-05-17 | Microsoft Corporation | Unified Application Discovery across Application Stores |
| US8645364B2 (en) | 2010-12-13 | 2014-02-04 | Google Inc. | Providing definitions that are sensitive to the context of a text |
| US10762293B2 (en) | 2010-12-22 | 2020-09-01 | Apple Inc. | Using parts-of-speech tagging and named entity recognition for spelling correction |
| US11294977B2 (en) | 2011-06-20 | 2022-04-05 | Primal Fusion Inc. | Techniques for presenting content to a user based on the user's preferences |
| US9092516B2 (en) | 2011-06-20 | 2015-07-28 | Primal Fusion Inc. | Identifying information of interest based on user preferences |
| US9547626B2 (en) | 2011-01-29 | 2017-01-17 | Sdl Plc | Systems, methods, and media for managing ambient adaptability of web applications and web services |
| US10657540B2 (en) | 2011-01-29 | 2020-05-19 | Sdl Netherlands B.V. | Systems, methods, and media for web content management |
| US8639508B2 (en) * | 2011-02-14 | 2014-01-28 | General Motors Llc | User-specific confidence thresholds for speech recognition |
| US10580015B2 (en) | 2011-02-25 | 2020-03-03 | Sdl Netherlands B.V. | Systems, methods, and media for executing and optimizing online marketing initiatives |
| US10140320B2 (en) | 2011-02-28 | 2018-11-27 | Sdl Inc. | Systems, methods, and media for generating analytical data |
| US20120239381A1 (en) * | 2011-03-17 | 2012-09-20 | Sap Ag | Semantic phrase suggestion engine |
| CN102682042B (en) * | 2011-03-18 | 2014-07-02 | 日电（中国）有限公司 | Concept identifying device and method |
| US9262612B2 (en) | 2011-03-21 | 2016-02-16 | Apple Inc. | Device access using voice authentication |
| US9063927B2 (en) | 2011-04-06 | 2015-06-23 | Citizennet Inc. | Short message age classification |
| US10127296B2 (en) | 2011-04-07 | 2018-11-13 | Bmc Software, Inc. | Cooperative naming for configuration items in a distributed configuration management database environment |
| US9904726B2 (en) | 2011-05-04 | 2018-02-27 | Black Hills IP Holdings, LLC. | Apparatus and method for automated and assisted patent claim mapping and expense planning |
| JP5234232B2 (en) * | 2011-05-10 | 2013-07-10 | 日本電気株式会社 | Synonymous expression determination device, method and program |
| US10057736B2 (en) | 2011-06-03 | 2018-08-21 | Apple Inc. | Active transport based notifications |
| US10068022B2 (en) | 2011-06-03 | 2018-09-04 | Google Llc | Identifying topical entities |
| US9069814B2 (en) | 2011-07-27 | 2015-06-30 | Wolfram Alpha Llc | Method and system for using natural language to generate widgets |
| US9002892B2 (en) | 2011-08-07 | 2015-04-07 | CitizenNet, Inc. | Systems and methods for trend detection using frequency analysis |
| US9984054B2 (en) | 2011-08-24 | 2018-05-29 | Sdl Inc. | Web interface including the review and manipulation of a web document and utilizing permission based control |
| US8935230B2 (en) | 2011-08-25 | 2015-01-13 | Sap Se | Self-learning semantic search engine |
| US8994660B2 (en) | 2011-08-29 | 2015-03-31 | Apple Inc. | Text correction processing |
| US9734252B2 (en) | 2011-09-08 | 2017-08-15 | Wolfram Alpha Llc | Method and system for analyzing data using a query answering system |
| US20130086033A1 (en) | 2011-10-03 | 2013-04-04 | Black Hills Ip Holdings, Llc | Systems, methods and user interfaces in a patent management system |
| US20130091163A1 (en) * | 2011-10-11 | 2013-04-11 | Microsoft Corporation | Discovering and consuming related data |
| CN102937966A (en) * | 2011-10-11 | 2013-02-20 | 微软公司 | Finding and consuming related data |
| CN102999553B (en) * | 2011-10-11 | 2016-02-24 | 微软技术许可有限责任公司 | Based on user and data attribute recommending data |
| US8996549B2 (en) * | 2011-10-11 | 2015-03-31 | Microsoft Technology Licensing, Llc | Recommending data based on user and data attributes |
| US9501759B2 (en) * | 2011-10-25 | 2016-11-22 | Microsoft Technology Licensing, Llc | Search query and document-related data translation |
| CN103049474A (en) * | 2011-10-25 | 2013-04-17 | 微软公司 | Search query and document-related data translation |
| US10169339B2 (en) | 2011-10-31 | 2019-01-01 | Elwha Llc | Context-sensitive query enrichment |
| US9851950B2 (en) | 2011-11-15 | 2017-12-26 | Wolfram Alpha Llc | Programming in a precise syntax using natural language |
| US9269353B1 (en) * | 2011-12-07 | 2016-02-23 | Manu Rehani | Methods and systems for measuring semantics in communications |
| US8793199B2 (en) * | 2012-02-29 | 2014-07-29 | International Business Machines Corporation | Extraction of information from clinical reports |
| CN103294661A (en) * | 2012-03-01 | 2013-09-11 | 富泰华工业（深圳）有限公司 | Language ambiguity eliminating system and method |
| US10134385B2 (en) | 2012-03-02 | 2018-11-20 | Apple Inc. | Systems and methods for name pronunciation |
| US8745019B2 (en) | 2012-03-05 | 2014-06-03 | Microsoft Corporation | Robust discovery of entity synonyms using query logs |
| US9483461B2 (en) | 2012-03-06 | 2016-11-01 | Apple Inc. | Handling speech synthesis of content for multiple languages |
| US20150006155A1 (en) * | 2012-03-07 | 2015-01-01 | Mitsubishi Electric Corporation | Device, method, and program for word sense estimation |
| US8971630B2 (en) | 2012-04-27 | 2015-03-03 | Abbyy Development Llc | Fast CJK character recognition |
| US9053497B2 (en) | 2012-04-27 | 2015-06-09 | CitizenNet, Inc. | Systems and methods for targeting advertising to groups with strong ties within an online social network |
| US8989485B2 (en) | 2012-04-27 | 2015-03-24 | Abbyy Development Llc | Detecting a junction in a text line of CJK characters |
| US9275636B2 (en) * | 2012-05-03 | 2016-03-01 | International Business Machines Corporation | Automatic accuracy estimation for audio transcriptions |
| US9773270B2 (en) | 2012-05-11 | 2017-09-26 | Fredhopper B.V. | Method and system for recommending products based on a ranking cocktail |
| US9280610B2 (en) | 2012-05-14 | 2016-03-08 | Apple Inc. | Crowd sourcing information to fulfill user requests |
| US10261994B2 (en) | 2012-05-25 | 2019-04-16 | Sdl Inc. | Method and system for automatic management of reputation of translators |
| US9721563B2 (en) | 2012-06-08 | 2017-08-01 | Apple Inc. | Name recognition system |
| US10032131B2 (en) | 2012-06-20 | 2018-07-24 | Microsoft Technology Licensing, Llc | Data services for enterprises leveraging search system data assets |
| US9594831B2 (en) | 2012-06-22 | 2017-03-14 | Microsoft Technology Licensing, Llc | Targeted disambiguation of named entities |
| US9098588B2 (en) * | 2012-06-27 | 2015-08-04 | Rakuten, Inc. | Information processing apparatus, information processing method, and information processing program |
| US9495129B2 (en) | 2012-06-29 | 2016-11-15 | Apple Inc. | Device, method, and user interface for voice-activated navigation and browsing of a document |
| US9305103B2 (en) * | 2012-07-03 | 2016-04-05 | Yahoo! Inc. | Method or system for semantic categorization |
| US8577671B1 (en) | 2012-07-20 | 2013-11-05 | Veveo, Inc. | Method of and system for using conversation state information in a conversational interaction system |
| US9465833B2 (en) * | 2012-07-31 | 2016-10-11 | Veveo, Inc. | Disambiguating user intent in conversational interaction system for large corpus information retrieval |
| US9229924B2 (en) | 2012-08-24 | 2016-01-05 | Microsoft Technology Licensing, Llc | Word detection and domain dictionary recommendation |
| US9405424B2 (en) | 2012-08-29 | 2016-08-02 | Wolfram Alpha, Llc | Method and system for distributing and displaying graphical items |
| US9576574B2 (en) | 2012-09-10 | 2017-02-21 | Apple Inc. | Context-sensitive handling of interruptions by intelligent digital assistant |
| US11308528B2 (en) | 2012-09-14 | 2022-04-19 | Sdl Netherlands B.V. | Blueprinting of multimedia assets |
| US10452740B2 (en) | 2012-09-14 | 2019-10-22 | Sdl Netherlands B.V. | External content libraries |
| US11386186B2 (en) | 2012-09-14 | 2022-07-12 | Sdl Netherlands B.V. | External content library connector systems and methods |
| US9547647B2 (en) | 2012-09-19 | 2017-01-17 | Apple Inc. | Voice-based media searching |
| US9916306B2 (en) | 2012-10-19 | 2018-03-13 | Sdl Inc. | Statistical linguistic analysis of source content |
| US9009197B2 (en) | 2012-11-05 | 2015-04-14 | Unified Compliance Framework (Network Frontiers) | Methods and systems for a compliance framework database schema |
| US9575954B2 (en) | 2012-11-05 | 2017-02-21 | Unified Compliance Framework (Network Frontiers) | Structured dictionary |
| WO2014074317A1 (en) * | 2012-11-08 | 2014-05-15 | Evernote Corporation | Extraction and clarification of ambiguities for addresses in documents |
| US20140156703A1 (en) * | 2012-11-30 | 2014-06-05 | Altera Corporation | Method and apparatus for translating graphical symbols into query keywords |
| US8892597B1 (en) | 2012-12-11 | 2014-11-18 | Google Inc. | Selecting data collections to search based on the query |
| US9772995B2 (en) | 2012-12-27 | 2017-09-26 | Abbyy Development Llc | Finding an appropriate meaning of an entry in a text |
| US20140188456A1 (en) * | 2012-12-27 | 2014-07-03 | Abbyy Development Llc | Dictionary Markup System and Method |
| KR102516577B1 (en) | 2013-02-07 | 2023-04-03 | 애플 인크. | Voice trigger for a digital assistant |
| WO2014127301A2 (en) * | 2013-02-14 | 2014-08-21 | 24/7 Customer, Inc. | Categorization of user interactions into predefined hierarchical categories |
| BR122017002793B1 (en) | 2013-02-15 | 2021-05-18 | Voxy, Inc | systems and methods for language learning |
| US9305102B2 (en) | 2013-02-27 | 2016-04-05 | Google Inc. | Systems and methods for providing personalized search results based on prior user interactions |
| US9761225B2 (en) * | 2013-03-11 | 2017-09-12 | Nuance Communications, Inc. | Semantic re-ranking of NLU results in conversational dialogue applications |
| US9972030B2 (en) | 2013-03-11 | 2018-05-15 | Criteo S.A. | Systems and methods for the semantic modeling of advertising creatives in targeted search advertising campaigns |
| US9158799B2 (en) | 2013-03-14 | 2015-10-13 | Bmc Software, Inc. | Storing and retrieving context sensitive data in a management system |
| US9368114B2 (en) | 2013-03-14 | 2016-06-14 | Apple Inc. | Context-sensitive handling of interruptions |
| US20140280314A1 (en) * | 2013-03-14 | 2014-09-18 | Advanced Search Laboratories, lnc. | Dimensional Articulation and Cognium Organization for Information Retrieval Systems |
| US10652394B2 (en) | 2013-03-14 | 2020-05-12 | Apple Inc. | System and method for processing voicemail |
| AU2014233517B2 (en) | 2013-03-15 | 2017-05-25 | Apple Inc. | Training an at least partial voice command system |
| WO2014144579A1 (en) | 2013-03-15 | 2014-09-18 | Apple Inc. | System and method for updating an adaptive speech recognition model |
| US10152538B2 (en) | 2013-05-06 | 2018-12-11 | Dropbox, Inc. | Suggested search based on a content item |
| HUE068918T2 (en) * | 2013-05-07 | 2025-02-28 | Adeia Guides Inc | Incremental speech input interface with real time feedback |
| US9946757B2 (en) | 2013-05-10 | 2018-04-17 | Veveo, Inc. | Method and system for capturing and exploiting user intent in a conversational interaction based information retrieval system |
| WO2014197336A1 (en) | 2013-06-07 | 2014-12-11 | Apple Inc. | System and method for detecting errors in interactions with a voice-based digital assistant |
| US9582608B2 (en) | 2013-06-07 | 2017-02-28 | Apple Inc. | Unified ranking with entropy-weighted information for phrase-based semantic auto-completion |
| WO2014197334A2 (en) | 2013-06-07 | 2014-12-11 | Apple Inc. | System and method for user-specified pronunciation of words for speech synthesis and recognition |
| WO2014197335A1 (en) | 2013-06-08 | 2014-12-11 | Apple Inc. | Interpreting and acting upon commands that involve sharing information with remote devices |
| KR101959188B1 (en) | 2013-06-09 | 2019-07-02 | 애플 인크. | Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant |
| US10176167B2 (en) | 2013-06-09 | 2019-01-08 | Apple Inc. | System and method for inferring user intent from speech inputs |
| KR101809808B1 (en) | 2013-06-13 | 2017-12-15 | 애플 인크. | System and method for emergency calls initiated by voice command |
| US20140379324A1 (en) * | 2013-06-20 | 2014-12-25 | Microsoft Corporation | Providing web-based alternate text options |
| US9355088B2 (en) | 2013-07-12 | 2016-05-31 | Microsoft Technology Licensing, Llc | Feature completion in computer-human interactive learning |
| CN105453026A (en) | 2013-08-06 | 2016-03-30 | 苹果公司 | Auto-activating smart responses based on activities from remote devices |
| RU2592395C2 (en) | 2013-12-19 | 2016-07-20 | Общество с ограниченной ответственностью "Аби ИнфоПоиск" | Resolution semantic ambiguity by statistical analysis |
| RU2586577C2 (en) | 2014-01-15 | 2016-06-10 | Общество с ограниченной ответственностью "Аби ИнфоПоиск" | Filtering arcs parser graph |
| US9620105B2 (en) | 2014-05-15 | 2017-04-11 | Apple Inc. | Analyzing audio input for efficient speech and music recognition |
| US10592095B2 (en) | 2014-05-23 | 2020-03-17 | Apple Inc. | Instantaneous speaking of content on touch devices |
| US9502031B2 (en) | 2014-05-27 | 2016-11-22 | Apple Inc. | Method for supporting dynamic grammars in WFST-based ASR |
| US9430463B2 (en) | 2014-05-30 | 2016-08-30 | Apple Inc. | Exemplar-based natural language processing |
| US9633004B2 (en) | 2014-05-30 | 2017-04-25 | Apple Inc. | Better resolution when referencing to concepts |
| TWI566107B (en) | 2014-05-30 | 2017-01-11 | 蘋果公司 | Method for processing a multi-part voice command, non-transitory computer readable storage medium and electronic device |
| US9734193B2 (en) | 2014-05-30 | 2017-08-15 | Apple Inc. | Determining domain salience ranking from ambiguous words in natural speech |
| US9715875B2 (en) | 2014-05-30 | 2017-07-25 | Apple Inc. | Reducing the need for manual start/end-pointing and trigger phrases |
| US9760559B2 (en) | 2014-05-30 | 2017-09-12 | Apple Inc. | Predictive text input |
| US10170123B2 (en) | 2014-05-30 | 2019-01-01 | Apple Inc. | Intelligent assistant for home automation |
| US10289433B2 (en) | 2014-05-30 | 2019-05-14 | Apple Inc. | Domain specific language for encoding assistant dialog |
| US9785630B2 (en) | 2014-05-30 | 2017-10-10 | Apple Inc. | Text prediction using combined word N-gram and unigram language models |
| US9842101B2 (en) | 2014-05-30 | 2017-12-12 | Apple Inc. | Predictive conversion of language input |
| US10078631B2 (en) | 2014-05-30 | 2018-09-18 | Apple Inc. | Entropy-guided text prediction using combined word and character n-gram language models |
| US10275485B2 (en) * | 2014-06-10 | 2019-04-30 | Google Llc | Retrieving context from previous sessions |
| US10282467B2 (en) * | 2014-06-26 | 2019-05-07 | International Business Machines Corporation | Mining product aspects from opinion text |
| US9338493B2 (en) | 2014-06-30 | 2016-05-10 | Apple Inc. | Intelligent automated assistant for TV user interactions |
| US10659851B2 (en) | 2014-06-30 | 2020-05-19 | Apple Inc. | Real-time digital assistant knowledge updates |
| US10262060B1 (en) * | 2014-07-07 | 2019-04-16 | Clarifai, Inc. | Systems and methods for facilitating searching, labeling, and/or filtering of digital media items |
| US10073673B2 (en) * | 2014-07-14 | 2018-09-11 | Samsung Electronics Co., Ltd. | Method and system for robust tagging of named entities in the presence of source or translation errors |
| US10446141B2 (en) | 2014-08-28 | 2019-10-15 | Apple Inc. | Automatic speech recognition based on user feedback |
| RU2596600C2 (en) | 2014-09-02 | 2016-09-10 | Общество с ограниченной ответственностью "Аби Девелопмент" | Methods and systems for processing images of mathematical expressions |
| US9519635B2 (en) * | 2014-09-11 | 2016-12-13 | Automated Insights, Inc. | System and method for integrated development environments for dynamically generating narrative content |
| US9818400B2 (en) | 2014-09-11 | 2017-11-14 | Apple Inc. | Method and apparatus for discovering trending terms in speech requests |
| US10789041B2 (en) | 2014-09-12 | 2020-09-29 | Apple Inc. | Dynamic thresholds for always listening speech trigger |
| KR102348084B1 (en) * | 2014-09-16 | 2022-01-10 | 삼성전자주식회사 | Image Displaying Device, Driving Method of Image Displaying Device, and Computer Readable Recording Medium |
| US10460239B2 (en) * | 2014-09-16 | 2019-10-29 | International Business Machines Corporation | Generation of inferred questions for a question answering system |
| US9606986B2 (en) | 2014-09-29 | 2017-03-28 | Apple Inc. | Integrated word N-gram and class M-gram language models |
| US10127911B2 (en) | 2014-09-30 | 2018-11-13 | Apple Inc. | Speaker identification and unsupervised speaker adaptation techniques |
| US9646609B2 (en) | 2014-09-30 | 2017-05-09 | Apple Inc. | Caching apparatus for serving phonetic pronunciations |
| US9668121B2 (en) | 2014-09-30 | 2017-05-30 | Apple Inc. | Social reminders |
| US9886432B2 (en) | 2014-09-30 | 2018-02-06 | Apple Inc. | Parsimonious handling of word inflection via categorical stem + suffix N-gram language models |
| US10074360B2 (en) | 2014-09-30 | 2018-09-11 | Apple Inc. | Providing an indication of the suitability of speech recognition |
| KR102033395B1 (en) * | 2014-11-20 | 2019-10-18 | 한국전자통신연구원 | Question answering system and method for structured knowledge-base using deep natrural language question analysis |
| US9626358B2 (en) | 2014-11-26 | 2017-04-18 | Abbyy Infopoisk Llc | Creating ontologies by analyzing natural language texts |
| US10552013B2 (en) | 2014-12-02 | 2020-02-04 | Apple Inc. | Data detection |
| US9711141B2 (en) | 2014-12-09 | 2017-07-18 | Apple Inc. | Disambiguating heteronyms in speech synthesis |
| CN105868193A (en) * | 2015-01-19 | 2016-08-17 | 富士通株式会社 | Device and method used to detect product relevant information in electronic text |
| US11551188B2 (en) | 2015-01-23 | 2023-01-10 | Conversica, Inc. | Systems and methods for improved automated conversations with attendant actions |
| US11301632B2 (en) | 2015-01-23 | 2022-04-12 | Conversica, Inc. | Systems and methods for natural language processing and classification |
| US11106871B2 (en) | 2015-01-23 | 2021-08-31 | Conversica, Inc. | Systems and methods for configurable messaging response-action engine |
| US9767091B2 (en) * | 2015-01-23 | 2017-09-19 | Microsoft Technology Licensing, Llc | Methods for understanding incomplete natural language query |
| US11100285B2 (en) | 2015-01-23 | 2021-08-24 | Conversica, Inc. | Systems and methods for configurable messaging with feature extraction |
| US11663409B2 (en) | 2015-01-23 | 2023-05-30 | Conversica, Inc. | Systems and methods for training machine learning models using active learning |
| US11042910B2 (en) * | 2015-01-23 | 2021-06-22 | Conversica, Inc. | Systems and methods for processing message exchanges using artificial intelligence |
| US9854049B2 (en) | 2015-01-30 | 2017-12-26 | Rovi Guides, Inc. | Systems and methods for resolving ambiguous terms in social chatter based on a user profile |
| US9865280B2 (en) | 2015-03-06 | 2018-01-09 | Apple Inc. | Structured dictation using intelligent automated assistants |
| US9721566B2 (en) | 2015-03-08 | 2017-08-01 | Apple Inc. | Competing devices responding to voice triggers |
| US10567477B2 (en) | 2015-03-08 | 2020-02-18 | Apple Inc. | Virtual assistant continuity |
| US9886953B2 (en) | 2015-03-08 | 2018-02-06 | Apple Inc. | Virtual assistant activation |
| US9899019B2 (en) | 2015-03-18 | 2018-02-20 | Apple Inc. | Systems and methods for structured stem and suffix language models |
| WO2016147034A1 (en) | 2015-03-19 | 2016-09-22 | Yandex Europe Ag | Method of and system for processing a text stream |
| US10045237B2 (en) * | 2015-04-09 | 2018-08-07 | Hong Kong Applied Science And Technology Research Institute Co., Ltd. | Systems and methods for using high probability area and availability probability determinations for white space channel identification |
| US9842105B2 (en) | 2015-04-16 | 2017-12-12 | Apple Inc. | Parsimonious continuous-space phrase representations for natural language processing |
| WO2016171927A1 (en) * | 2015-04-20 | 2016-10-27 | Unified Compliance Framework (Network Frontiers) | Structured dictionary |
| US10083688B2 (en) | 2015-05-27 | 2018-09-25 | Apple Inc. | Device voice control for selecting a displayed affordance |
| US10127220B2 (en) | 2015-06-04 | 2018-11-13 | Apple Inc. | Language identification from short strings |
| US9578173B2 (en) | 2015-06-05 | 2017-02-21 | Apple Inc. | Virtual assistant aided communication with 3rd party service in a communication session |
| US11423023B2 (en) | 2015-06-05 | 2022-08-23 | Apple Inc. | Systems and methods for providing improved search functionality on a client device |
| US10101822B2 (en) | 2015-06-05 | 2018-10-16 | Apple Inc. | Language input correction |
| US10769184B2 (en) * | 2015-06-05 | 2020-09-08 | Apple Inc. | Systems and methods for providing improved search functionality on a client device |
| US10186254B2 (en) | 2015-06-07 | 2019-01-22 | Apple Inc. | Context-based endpoint detection |
| US11025565B2 (en) | 2015-06-07 | 2021-06-01 | Apple Inc. | Personalized prediction of responses for instant messaging |
| US10255907B2 (en) | 2015-06-07 | 2019-04-09 | Apple Inc. | Automatic accent detection using acoustic models |
| US10747498B2 (en) | 2015-09-08 | 2020-08-18 | Apple Inc. | Zero latency digital assistant |
| US10671428B2 (en) | 2015-09-08 | 2020-06-02 | Apple Inc. | Distributed personal assistant |
| US10069940B2 (en) | 2015-09-10 | 2018-09-04 | Microsoft Technology Licensing, Llc | Deployment meta-data based applicability targetting |
| US9965604B2 (en) | 2015-09-10 | 2018-05-08 | Microsoft Technology Licensing, Llc | De-duplication of per-user registration data |
| US9697820B2 (en) | 2015-09-24 | 2017-07-04 | Apple Inc. | Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks |
| US11010550B2 (en) | 2015-09-29 | 2021-05-18 | Apple Inc. | Unified language modeling framework for word prediction, auto-completion and auto-correction |
| US10366158B2 (en) | 2015-09-29 | 2019-07-30 | Apple Inc. | Efficient word encoding for recurrent neural network language models |
| US11587559B2 (en) | 2015-09-30 | 2023-02-21 | Apple Inc. | Intelligent device identification |
| US11216718B2 (en) * | 2015-10-27 | 2022-01-04 | Yardi Systems, Inc. | Energy management system |
| US10275708B2 (en) * | 2015-10-27 | 2019-04-30 | Yardi Systems, Inc. | Criteria enhancement technique for business name categorization |
| US10268965B2 (en) * | 2015-10-27 | 2019-04-23 | Yardi Systems, Inc. | Dictionary enhancement technique for business name categorization |
| US10274983B2 (en) * | 2015-10-27 | 2019-04-30 | Yardi Systems, Inc. | Extended business name categorization apparatus and method |
| US10614167B2 (en) | 2015-10-30 | 2020-04-07 | Sdl Plc | Translation review workflow systems and methods |
| US10691473B2 (en) | 2015-11-06 | 2020-06-23 | Apple Inc. | Intelligent automated assistant in a messaging environment |
| US10049668B2 (en) | 2015-12-02 | 2018-08-14 | Apple Inc. | Applying neural network language models to weighted finite state transducers for automatic speech recognition |
| US10223066B2 (en) | 2015-12-23 | 2019-03-05 | Apple Inc. | Proactive assistance based on dialog communication between devices |
| US10229687B2 (en) * | 2016-03-10 | 2019-03-12 | Microsoft Technology Licensing, Llc | Scalable endpoint-dependent natural language understanding |
| US10446143B2 (en) | 2016-03-14 | 2019-10-15 | Apple Inc. | Identification of voice inputs providing credentials |
| US10460229B1 (en) * | 2016-03-18 | 2019-10-29 | Google Llc | Determining word senses using neural networks |
| US10878191B2 (en) * | 2016-05-10 | 2020-12-29 | Nuance Communications, Inc. | Iterative ontology discovery |
| US9760627B1 (en) * | 2016-05-13 | 2017-09-12 | International Business Machines Corporation | Private-public context analysis for natural language content disambiguation |
| US9934775B2 (en) | 2016-05-26 | 2018-04-03 | Apple Inc. | Unit-selection text-to-speech synthesis based on predicted concatenation parameters |
| US9972304B2 (en) | 2016-06-03 | 2018-05-15 | Apple Inc. | Privacy preserving distributed evaluation framework for embedded personalized systems |
| US10249300B2 (en) | 2016-06-06 | 2019-04-02 | Apple Inc. | Intelligent list reading |
| US10191899B2 (en) | 2016-06-06 | 2019-01-29 | Comigo Ltd. | System and method for understanding text using a translation of the text |
| US10049663B2 (en) | 2016-06-08 | 2018-08-14 | Apple, Inc. | Intelligent automated assistant for media exploration |
| DK179309B1 (en) | 2016-06-09 | 2018-04-23 | Apple Inc | Intelligent automated assistant in a home environment |
| US10067938B2 (en) | 2016-06-10 | 2018-09-04 | Apple Inc. | Multilingual word prediction |
| US10192552B2 (en) | 2016-06-10 | 2019-01-29 | Apple Inc. | Digital assistant providing whispered speech |
| US10490187B2 (en) | 2016-06-10 | 2019-11-26 | Apple Inc. | Digital assistant providing automated status report |
| US10586535B2 (en) | 2016-06-10 | 2020-03-10 | Apple Inc. | Intelligent digital assistant in a multi-tasking environment |
| US10509862B2 (en) | 2016-06-10 | 2019-12-17 | Apple Inc. | Dynamic phrase expansion of language input |
| DK201670540A1 (en) | 2016-06-11 | 2018-01-08 | Apple Inc | Application integration with a digital assistant |
| DK179049B1 (en) | 2016-06-11 | 2017-09-18 | Apple Inc | Data driven natural language event detection and classification |
| DK179415B1 (en) | 2016-06-11 | 2018-06-14 | Apple Inc | Intelligent device arbitration and control |
| DK179343B1 (en) | 2016-06-11 | 2018-05-14 | Apple Inc | Intelligent task discovery |
| DE112016006832T5 (en) * | 2016-06-29 | 2019-01-24 | Intel Corporation | Natural language indexer for virtual assistants |
| US10503832B2 (en) * | 2016-07-29 | 2019-12-10 | Rovi Guides, Inc. | Systems and methods for disambiguating a term based on static and temporal knowledge graphs |
| CN106294645A (en) * | 2016-08-03 | 2017-01-04 | 王晓光 | Different part of speech realization method and systems in big data search |
| WO2018023484A1 (en) * | 2016-08-03 | 2018-02-08 | 王晓光 | Method and system of implementing search of different parts of speech in big data |
| US20180068031A1 (en) * | 2016-08-16 | 2018-03-08 | Ebay Inc. | Enhancing user queries using implicit indicators |
| US10102200B2 (en) | 2016-08-25 | 2018-10-16 | International Business Machines Corporation | Predicate parses using semantic knowledge |
| CN106407180B (en) * | 2016-08-30 | 2021-01-01 | 北京奇艺世纪科技有限公司 | Entity disambiguation method and device |
| US10043516B2 (en) | 2016-09-23 | 2018-08-07 | Apple Inc. | Intelligent automated assistant |
| US10268734B2 (en) * | 2016-09-30 | 2019-04-23 | International Business Machines Corporation | Providing search results based on natural language classification confidence information |
| US10650810B2 (en) * | 2016-10-20 | 2020-05-12 | Google Llc | Determining phonetic relationships |
| US10120860B2 (en) * | 2016-12-21 | 2018-11-06 | Intel Corporation | Methods and apparatus to identify a count of n-grams appearing in a corpus |
| US10593346B2 (en) | 2016-12-22 | 2020-03-17 | Apple Inc. | Rank-reduced token representation for automatic speech recognition |
| CN106709011B (en) * | 2016-12-26 | 2019-07-23 | 武汉大学 | A kind of position concept level resolution calculation method based on space orientation cluster |
| US10140286B2 (en) | 2017-02-22 | 2018-11-27 | Google Llc | Optimized graph traversal |
| US10546026B2 (en) | 2017-03-31 | 2020-01-28 | International Business Machines Corporation | Advanced search-term disambiguation |
| US10872080B2 (en) * | 2017-04-24 | 2020-12-22 | Oath Inc. | Reducing query ambiguity using graph matching |
| US10268688B2 (en) * | 2017-05-03 | 2019-04-23 | International Business Machines Corporation | Corpus-scoped annotation and analysis |
| CN107180087B (en) * | 2017-05-09 | 2019-11-15 | 北京奇艺世纪科技有限公司 | A kind of searching method and device |
| DK201770439A1 (en) | 2017-05-11 | 2018-12-13 | Apple Inc. | Offline personal assistant |
| DK179745B1 (en) | 2017-05-12 | 2019-05-01 | Apple Inc. | SYNCHRONIZATION AND TASK DELEGATION OF A DIGITAL ASSISTANT |
| DK179496B1 (en) | 2017-05-12 | 2019-01-15 | Apple Inc. | USER-SPECIFIC Acoustic Models |
| US10372824B2 (en) * | 2017-05-15 | 2019-08-06 | International Business Machines Corporation | Disambiguating concepts in natural language |
| DK201770431A1 (en) | 2017-05-15 | 2018-12-20 | Apple Inc. | Optimizing dialogue policy decisions for digital assistants using implicit feedback |
| DK201770432A1 (en) | 2017-05-15 | 2018-12-21 | Apple Inc. | Hierarchical belief states for digital assistants |
| DK179560B1 (en) | 2017-05-16 | 2019-02-18 | Apple Inc. | Far-field extension for digital assistant services |
| CN111539219B (en) * | 2017-05-19 | 2024-04-26 | 吴晨曦 | Method, equipment and system for disambiguation of natural language content titles |
| US10652592B2 (en) | 2017-07-02 | 2020-05-12 | Comigo Ltd. | Named entity disambiguation for providing TV content enrichment |
| CN109271621B (en) * | 2017-07-18 | 2023-04-18 | 腾讯科技（北京）有限公司 | Semantic disambiguation processing method, device and equipment |
| US10635863B2 (en) | 2017-10-30 | 2020-04-28 | Sdl Inc. | Fragment recall and adaptive automated translation |
| US10726061B2 (en) | 2017-11-17 | 2020-07-28 | International Business Machines Corporation | Identifying text for labeling utilizing topic modeling-based text clustering |
| WO2019100167A1 (en) * | 2017-11-27 | 2019-05-31 | Retailcommon Inc. | Method and system for syntactic searching |
| US10387576B2 (en) * | 2017-11-30 | 2019-08-20 | International Business Machines Corporation | Document preparation with argumentation support from a deep question answering system |
| US11308128B2 (en) * | 2017-12-11 | 2022-04-19 | International Business Machines Corporation | Refining classification results based on glossary relationships |
| US10817676B2 (en) | 2017-12-27 | 2020-10-27 | Sdl Inc. | Intelligent routing services and systems |
| US11361416B2 (en) | 2018-03-20 | 2022-06-14 | Netflix, Inc. | Quantifying encoding comparison metric uncertainty via bootstrapping |
| US10915577B2 (en) * | 2018-03-22 | 2021-02-09 | Adobe Inc. | Constructing enterprise-specific knowledge graphs |
| US11799664B2 (en) * | 2018-03-26 | 2023-10-24 | Entigenlogic Llc | Verifying authenticity of content to produce knowledge |
| US10838951B2 (en) | 2018-04-02 | 2020-11-17 | International Business Machines Corporation | Query interpretation disambiguation |
| CN108647705B (en) * | 2018-04-23 | 2019-04-05 | 北京交通大学 | Image, semantic disambiguation method and device based on image and text semantic similarity |
| CN108920497B (en) * | 2018-05-23 | 2021-10-15 | 北京奇艺世纪科技有限公司 | Man-machine interaction method and device |
| US11170770B2 (en) * | 2018-08-03 | 2021-11-09 | International Business Machines Corporation | Dynamic adjustment of response thresholds in a dialogue system |
| CN109214007A (en) * | 2018-09-19 | 2019-01-15 | 哈尔滨理工大学 | A kind of Chinese sentence meaning of a word based on convolutional neural networks disappears qi method |
| US11226970B2 (en) * | 2018-09-28 | 2022-01-18 | Hitachi Vantara Llc | System and method for tagging database properties |
| US11256867B2 (en) | 2018-10-09 | 2022-02-22 | Sdl Inc. | Systems and methods of machine learning for digital assets and message creation |
| US10832680B2 (en) | 2018-11-27 | 2020-11-10 | International Business Machines Corporation | Speech-to-text engine customization |
| US11237713B2 (en) * | 2019-01-21 | 2022-02-01 | International Business Machines Corporation | Graphical user interface based feature extraction application for machine learning and cognitive models |
| US11386130B2 (en) * | 2019-01-28 | 2022-07-12 | Entigenlogic Llc | Converting content from a first to a second aptitude level |
| US20220318213A1 (en) * | 2019-01-28 | 2022-10-06 | Entigenlogic Llc | Curing impaired content utilizing a knowledge database of entigens |
| US11966389B2 (en) * | 2019-02-13 | 2024-04-23 | International Business Machines Corporation | Natural language to structured query generation via paraphrasing |
| JP2022523564A (en) | 2019-03-04 | 2022-04-25 | アイオーカレンツ， インコーポレイテッド | Data compression and communication using machine learning |
| US10607598B1 (en) * | 2019-04-05 | 2020-03-31 | Capital One Services, Llc | Determining input data for speech processing |
| CN109977418B (en) * | 2019-04-09 | 2023-03-31 | 南瑞集团有限公司 | Short text similarity measurement method based on semantic vector |
| US11966686B2 (en) * | 2019-06-17 | 2024-04-23 | The Boeing Company | Synthetic intelligent extraction of relevant solutions for lifecycle management of complex systems |
| US10824817B1 (en) * | 2019-07-01 | 2020-11-03 | Unified Compliance Framework (Network Frontiers) | Automatic compliance tools for substituting authority document synonyms |
| US10769379B1 (en) | 2019-07-01 | 2020-09-08 | Unified Compliance Framework (Network Frontiers) | Automatic compliance tools |
| US11120227B1 (en) | 2019-07-01 | 2021-09-14 | Unified Compliance Framework (Network Frontiers) | Automatic compliance tools |
| US11222057B2 (en) * | 2019-08-07 | 2022-01-11 | International Business Machines Corporation | Methods and systems for generating descriptions utilizing extracted entity descriptors |
| US20210141929A1 (en) * | 2019-11-12 | 2021-05-13 | Pilot Travel Centers Llc | Performing actions on personal data stored in multiple databases |
| CN113051898A (en) * | 2019-12-27 | 2021-06-29 | 北京阿博茨科技有限公司 | Word meaning accumulation and word segmentation method, tool and system for structured data searched by natural language |
| CN111159409B (en) * | 2019-12-31 | 2023-06-02 | 腾讯科技（深圳）有限公司 | Text classification method, device, equipment and medium based on artificial intelligence |
| US11651156B2 (en) * | 2020-05-07 | 2023-05-16 | Optum Technology, Inc. | Contextual document summarization with semantic intelligence |
| CN111611810B (en) * | 2020-05-29 | 2023-08-04 | 河北数云堂智能科技有限公司 | Multi-tone word pronunciation disambiguation device and method |
| US11941138B2 (en) * | 2020-06-04 | 2024-03-26 | Pilot Travel Centers, LLC | Data deletion and obfuscation system |
| EP4205018A1 (en) | 2020-08-27 | 2023-07-05 | Unified Compliance Framework (Network Frontiers) | Automatically identifying multi-word expressions |
| US11860943B2 (en) * | 2020-11-25 | 2024-01-02 | EMC IP Holding Company LLC | Method of “outcome driven data exploration” for datasets, business questions, and pipelines based on similarity mapping of business needs and asset use overlap |
| US11710574B2 (en) | 2021-01-27 | 2023-07-25 | Verantos, Inc. | High validity real-world evidence study with deep phenotyping |
| WO2022245405A1 (en) * | 2021-05-17 | 2022-11-24 | Verantos, Inc. | System and method for term disambiguation |
| CN113361283B (en) * | 2021-06-28 | 2024-09-24 | 东南大学 | Paired entity joint disambiguation method for Web form |
| US20230031040A1 (en) | 2021-07-20 | 2023-02-02 | Unified Compliance Framework (Network Frontiers) | Retrieval interface for content, such as compliance-related content |
| CN113935325A (en) * | 2021-09-14 | 2022-01-14 | 海信视像科技股份有限公司 | Semantic conflict disambiguation processing method based on entity text and electronic equipment |
| US12248753B2 (en) * | 2021-10-22 | 2025-03-11 | Tencent America LLC | Bridging semantics between words and definitions via aligning word sense inventories |
| US20230185786A1 (en) * | 2021-12-13 | 2023-06-15 | International Business Machines Corporation | Detect data standardization gaps |
| US20230252312A1 (en) * | 2022-01-19 | 2023-08-10 | Entigenlogic Llc | Utilizing meaning to find a document |
| CN115017986A (en) * | 2022-05-31 | 2022-09-06 | 北京有竹居网络技术有限公司 | Model generation method, word sense disambiguation method, apparatus, medium and device |
| US11922126B1 (en) * | 2023-07-28 | 2024-03-05 | Intuit Inc. | Use of semantic confidence metrics for uncertainty estimation in large language models |
Family Cites Families (78)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5083571A (en) * | 1988-04-18 | 1992-01-28 | New York University | Use of brain electrophysiological quantitative data to classify and subtype an individual into diagnostic categories by discriminant and cluster analysis |
| US5418717A (en) * | 1990-08-27 | 1995-05-23 | Su; Keh-Yih | Multiple score language processing system |
| US5317507A (en) | 1990-11-07 | 1994-05-31 | Gallant Stephen I | Method for document retrieval and for word sense disambiguation using neural networks |
| US5325298A (en) | 1990-11-07 | 1994-06-28 | Hnc, Inc. | Methods for generating or revising context vectors for a plurality of word stems |
| EP0494573A1 (en) | 1991-01-08 | 1992-07-15 | International Business Machines Corporation | Method for automatically disambiguating the synonymic links in a dictionary for a natural language processing system |
| US5477451A (en) | 1991-07-25 | 1995-12-19 | International Business Machines Corp. | Method and system for natural language translation |
| US5251131A (en) * | 1991-07-31 | 1993-10-05 | Thinking Machines Corporation | Classification of data records by comparison of records to a training database using probability weights |
| US5541836A (en) | 1991-12-30 | 1996-07-30 | At&T Corp. | Word disambiguation apparatus and methods |
| IL107482A (en) | 1992-11-04 | 1998-10-30 | Conquest Software Inc | Method for resolution of natural-language queries against full-text databases |
| WO1994014270A1 (en) * | 1992-12-17 | 1994-06-23 | Bell Atlantic Network Services, Inc. | Mechanized directory assistance |
| US5873056A (en) * | 1993-10-12 | 1999-02-16 | The Syracuse University | Natural language processing system for semantic vector representation which accounts for lexical ambiguity |
| US5510981A (en) * | 1993-10-28 | 1996-04-23 | International Business Machines Corporation | Language translation apparatus and method using context-based translation models |
| US5675819A (en) | 1994-06-16 | 1997-10-07 | Xerox Corporation | Document information retrieval using global word co-occurrence patterns |
| US5519786A (en) | 1994-08-09 | 1996-05-21 | Trw Inc. | Method and apparatus for implementing a weighted voting scheme for multiple optical character recognition systems |
| US5642502A (en) * | 1994-12-06 | 1997-06-24 | University Of Central Florida | Method and system for searching for relevant documents from a text database collection, using statistical ranking, relevancy feedback and small pieces of text |
| US5794050A (en) | 1995-01-04 | 1998-08-11 | Intelligent Text Processing, Inc. | Natural language understanding system |
| US6006221A (en) * | 1995-08-16 | 1999-12-21 | Syracuse University | Multilingual document retrieval system and method using semantic vector matching |
| US6026388A (en) * | 1995-08-16 | 2000-02-15 | Textwise, Llc | User interface and other enhancements for natural language information retrieval system and method |
| US5963940A (en) * | 1995-08-16 | 1999-10-05 | Syracuse University | Natural language information retrieval system and method |
| US5761665A (en) * | 1995-10-31 | 1998-06-02 | Pitney Bowes Inc. | Method of automatic database field identification for postal coding |
| US6076088A (en) | 1996-02-09 | 2000-06-13 | Paik; Woojin | Information extraction system and method using concept relation concept (CRC) triples |
| US5907839A (en) | 1996-07-03 | 1999-05-25 | Yeda Reseach And Development, Co., Ltd. | Algorithm for context sensitive spelling correction |
| US5953541A (en) * | 1997-01-24 | 1999-09-14 | Tegic Communications, Inc. | Disambiguating system for disambiguating ambiguous input sequences by displaying objects associated with the generated input sequences in the order of decreasing frequency of use |
| US6098065A (en) | 1997-02-13 | 2000-08-01 | Nortel Networks Corporation | Associative search engine |
| US5996011A (en) | 1997-03-25 | 1999-11-30 | Unified Research Laboratories, Inc. | System and method for filtering data received by a computer system |
| US6038560A (en) * | 1997-05-21 | 2000-03-14 | Oracle Corporation | Concept knowledge base search and retrieval system |
| US6078878A (en) | 1997-07-31 | 2000-06-20 | Microsoft Corporation | Bootstrapping sense characterizations of occurrences of polysemous words |
| US6070134A (en) | 1997-07-31 | 2000-05-30 | Microsoft Corporation | Identifying salient semantic relation paths between two words |
| US6138085A (en) | 1997-07-31 | 2000-10-24 | Microsoft Corporation | Inferring semantic relations |
| US6098033A (en) | 1997-07-31 | 2000-08-01 | Microsoft Corporation | Determining similarity between words |
| US6105023A (en) | 1997-08-18 | 2000-08-15 | Dataware Technologies, Inc. | System and method for filtering a document stream |
| US6003027A (en) * | 1997-11-21 | 1999-12-14 | International Business Machines Corporation | System and method for determining confidence levels for the results of a categorization system |
| US6260008B1 (en) | 1998-01-08 | 2001-07-10 | Sharp Kabushiki Kaisha | Method of and system for disambiguating syntactic word multiples |
| US6421675B1 (en) * | 1998-03-16 | 2002-07-16 | S. L. I. Systems, Inc. | Search engine |
| US6092034A (en) | 1998-07-27 | 2000-07-18 | International Business Machines Corporation | Statistical translation system and method for fast sense disambiguation and translation of large corpora using fertility models and sense models |
| US6487552B1 (en) * | 1998-10-05 | 2002-11-26 | Oracle Corporation | Database fine-grained access control |
| US6480843B2 (en) * | 1998-11-03 | 2002-11-12 | Nec Usa, Inc. | Supporting web-query expansion efficiently using multi-granularity indexing and query processing |
| US6256629B1 (en) | 1998-11-25 | 2001-07-03 | Lucent Technologies Inc. | Method and apparatus for measuring the degree of polysemy in polysemous words |
| US6189002B1 (en) * | 1998-12-14 | 2001-02-13 | Dolphin Search | Process and system for retrieval of documents using context-relevant semantic profiles |
| US6751606B1 (en) * | 1998-12-23 | 2004-06-15 | Microsoft Corporation | System for enhancing a query interface |
| US7089194B1 (en) | 1999-06-17 | 2006-08-08 | International Business Machines Corporation | Method and apparatus for providing reduced cost online service and adaptive targeting of advertisements |
| US7089236B1 (en) * | 1999-06-24 | 2006-08-08 | Search 123.Com, Inc. | Search engine interface |
| KR20010004404A (en) | 1999-06-28 | 2001-01-15 | 정선종 | Keyfact-based text retrieval system, keyfact-based text index method, and retrieval method using this system |
| US6665665B1 (en) * | 1999-07-30 | 2003-12-16 | Verizon Laboratories Inc. | Compressed document surrogates |
| US6816857B1 (en) * | 1999-11-01 | 2004-11-09 | Applied Semantics, Inc. | Meaning-based advertising and document relevance determination |
| US6453315B1 (en) * | 1999-09-22 | 2002-09-17 | Applied Semantics, Inc. | Meaning-based information organization and retrieval |
| US6405162B1 (en) * | 1999-09-23 | 2002-06-11 | Xerox Corporation | Type-based selection of rules for semantically disambiguating words |
| WO2001022251A2 (en) * | 1999-09-24 | 2001-03-29 | Wordmap Limited | Apparatus for and method of searching |
| GB0006153D0 (en) * | 2000-03-14 | 2000-05-03 | Inpharmatica Ltd | Database |
| US6965858B2 (en) * | 2000-04-03 | 2005-11-15 | Xerox Corporation | Method and apparatus for reducing the intermediate alphabet occurring between cascaded finite state transducers |
| US6636848B1 (en) * | 2000-05-31 | 2003-10-21 | International Business Machines Corporation | Information search using knowledge agents |
| US20040076139A1 (en) * | 2000-07-03 | 2004-04-22 | Kenneth Kang-Yeh | Wireless name service registry and flexible call routing and scheduling |
| EP1170677B1 (en) | 2000-07-04 | 2009-03-18 | International Business Machines Corporation | Method and system of weighted context feedback for result improvement in information retrieval |
| GB0018645D0 (en) | 2000-07-28 | 2000-09-13 | Tenara Limited | Dynamic personalization via semantic networks |
| US6766320B1 (en) * | 2000-08-24 | 2004-07-20 | Microsoft Corporation | Search engine with natural language-based robust parsing for user query and relevance feedback learning |
| US20030217052A1 (en) * | 2000-08-24 | 2003-11-20 | Celebros Ltd. | Search engine method and apparatus |
| AU2001286689A1 (en) | 2000-08-24 | 2002-03-04 | Science Applications International Corporation | Word sense disambiguation |
| WO2002069202A2 (en) * | 2001-02-28 | 2002-09-06 | The Johns Hopkins University | Method for determining synthetic term senses using reference text |
| US7174341B2 (en) | 2001-05-31 | 2007-02-06 | Synopsys, Inc. | Dynamic database management system and method |
| US7184948B2 (en) | 2001-06-15 | 2007-02-27 | Sakhr Software Company | Method and system for theme-based word sense ambiguity reduction |
| US7043492B1 (en) * | 2001-07-05 | 2006-05-09 | Requisite Technology, Inc. | Automated classification of items using classification mappings |
| US20030101182A1 (en) * | 2001-07-18 | 2003-05-29 | Omri Govrin | Method and system for smart search engine and other applications |
| US7007074B2 (en) * | 2001-09-10 | 2006-02-28 | Yahoo! Inc. | Targeted advertisements using time-dependent key search terms |
| US7403938B2 (en) * | 2001-09-24 | 2008-07-22 | Iac Search & Media, Inc. | Natural language query processing |
| US20030078928A1 (en) * | 2001-10-23 | 2003-04-24 | Dorosario Alden | Network wide ad targeting |
| CA2475267C (en) * | 2002-02-04 | 2014-08-05 | Cataphora, Inc. | A method and apparatus for sociological data mining |
| US7451065B2 (en) * | 2002-03-11 | 2008-11-11 | International Business Machines Corporation | Method for constructing segmentation-based predictive models |
| US20050021397A1 (en) * | 2003-07-22 | 2005-01-27 | Cui Yingwei Claire | Content-targeted advertising using collected user behavior data |
| US20030220913A1 (en) * | 2002-05-24 | 2003-11-27 | International Business Machines Corporation | Techniques for personalized and adaptive search services |
| US7249012B2 (en) * | 2002-11-20 | 2007-07-24 | Microsoft Corporation | Statistical method and apparatus for learning translation relationships among phrases |
| US7209875B2 (en) * | 2002-12-04 | 2007-04-24 | Microsoft Corporation | System and method for machine learning a confidence metric for machine translation |
| US20040117173A1 (en) * | 2002-12-18 | 2004-06-17 | Ford Daniel Alexander | Graphical feedback for semantic interpretation of text and images |
| US7403942B1 (en) * | 2003-02-04 | 2008-07-22 | Seisint, Inc. | Method and system for processing data records |
| US20050033771A1 (en) * | 2003-04-30 | 2005-02-10 | Schmitter Thomas A. | Contextual advertising system |
| US7260571B2 (en) * | 2003-05-19 | 2007-08-21 | International Business Machines Corporation | Disambiguation of term occurrences |
| US8856163B2 (en) * | 2003-07-28 | 2014-10-07 | Google Inc. | System and method for providing a user interface with search query broadening |
| US20070073678A1 (en) * | 2005-09-23 | 2007-03-29 | Applied Linguistics, Llc | Semantic document profiling |
| US9400838B2 (en) * | 2005-04-11 | 2016-07-26 | Textdigger, Inc. | System and method for searching for a query |
-
2004
- 2004-08-20 CA CA002536270A patent/CA2536270A1/en not_active Abandoned
- 2004-08-20 EP EP04761694A patent/EP1665092A4/en not_active Withdrawn
- 2004-08-20 CA CA2536265A patent/CA2536265C/en not_active Expired - Fee Related
- 2004-08-20 US US10/921,820 patent/US7895221B2/en not_active Expired - Fee Related
- 2004-08-20 CA CA002536262A patent/CA2536262A1/en not_active Abandoned
- 2004-08-20 EP EP04761693A patent/EP1665091A4/en not_active Withdrawn
- 2004-08-20 US US10/921,954 patent/US20050080613A1/en not_active Abandoned
- 2004-08-20 WO PCT/CA2004/001529 patent/WO2005020092A1/en active Application Filing
- 2004-08-20 WO PCT/CA2004/001531 patent/WO2005020091A1/en active Application Filing
- 2004-08-20 EP EP04761695A patent/EP1661031A4/en not_active Withdrawn
- 2004-08-20 CN CN2004800312332A patent/CN1871597B/en not_active Expired - Fee Related
- 2004-08-20 US US10/921,875 patent/US7509313B2/en not_active Expired - Fee Related
- 2004-08-20 WO PCT/CA2004/001530 patent/WO2005020093A1/en active Application Filing
- 2004-08-20 CN CN200480023961A patent/CN100580666C/en not_active Expired - Fee Related
- 2004-08-20 CN CN200480031158XA patent/CN1871603B/en not_active Expired - Fee Related
-
2011
- 2011-02-21 US US13/031,600 patent/US20110202563A1/en not_active Abandoned
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008055428A1 (en) * | 2006-11-09 | 2008-05-15 | Huawei Technologies Co., Ltd. | A network search method, system and device |
| CN101878476B (en) * | 2007-06-22 | 2013-03-06 | 谷歌公司 | Machine translation for query expansion |
| US9569527B2 (en) | 2007-06-22 | 2017-02-14 | Google Inc. | Machine translation for query expansion |
| US9002869B2 (en) | 2007-06-22 | 2015-04-07 | Google Inc. | Machine translation for query expansion |
| CN101692223B (en) * | 2007-10-05 | 2015-09-02 | 富士通株式会社 | Refined Search space is inputted in response to user |
| US8108405B2 (en) | 2007-10-05 | 2012-01-31 | Fujitsu Limited | Refining a search space in response to user input |
| CN101404019B (en) * | 2007-10-05 | 2012-06-13 | 富士通株式会社 | Implementing an expanded search and providing expanded search results |
| US8543380B2 (en) | 2007-10-05 | 2013-09-24 | Fujitsu Limited | Determining a document specificity |
| CN101840397A (en) * | 2009-03-20 | 2010-09-22 | 日电（中国）有限公司 | Word sense disambiguation method and system |
| CN102750277A (en) * | 2011-04-18 | 2012-10-24 | 腾讯科技（深圳）有限公司 | Method and device for obtaining information |
| CN102750277B (en) * | 2011-04-18 | 2016-12-14 | 深圳市世纪光速信息技术有限公司 | The method and apparatus of acquisition information |
| CN103914476B (en) * | 2013-01-05 | 2017-02-01 | 北京百度网讯科技有限公司 | Search guiding method and search engine |
| CN103914476A (en) * | 2013-01-05 | 2014-07-09 | 北京百度网讯科技有限公司 | Search guiding method and search engine |
| CN104978878A (en) * | 2015-06-26 | 2015-10-14 | 苏州点通教育科技有限公司 | Microlecture teaching system and method |
| CN108509449A (en) * | 2017-02-24 | 2018-09-07 | 腾讯科技（深圳）有限公司 | A kind of method and server of information processing |
| CN108509449B (en) * | 2017-02-24 | 2022-07-08 | 腾讯科技（深圳）有限公司 | Information processing method and server |
| CN112487790A (en) * | 2019-09-11 | 2021-03-12 | 甲骨文国际公司 | Improved semantic parser including coarse semantic parser and fine semantic parser |
| CN112487790B (en) * | 2019-09-11 | 2023-04-28 | 甲骨文国际公司 | Improved semantic resolvers including coarse semantic resolvers and fine semantic resolvers |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2005020092A1 (en) | 2005-03-03 |
| US20110202563A1 (en) | 2011-08-18 |
| WO2005020093A1 (en) | 2005-03-03 |
| US20050080613A1 (en) | 2005-04-14 |
| EP1661031A4 (en) | 2006-12-13 |
| CA2536270A1 (en) | 2005-03-03 |
| US20050080780A1 (en) | 2005-04-14 |
| US20050080776A1 (en) | 2005-04-14 |
| EP1661031A1 (en) | 2006-05-31 |
| CN1871603A (en) | 2006-11-29 |
| CN1871603B (en) | 2010-04-28 |
| CA2536265C (en) | 2012-11-13 |
| CA2536262A1 (en) | 2005-03-03 |
| CN1871597A (en) | 2006-11-29 |
| EP1665092A4 (en) | 2006-11-22 |
| US7509313B2 (en) | 2009-03-24 |
| EP1665091A1 (en) | 2006-06-07 |
| EP1665091A4 (en) | 2006-11-15 |
| US7895221B2 (en) | 2011-02-22 |
| CN1871597B (en) | 2010-04-14 |
| CA2536265A1 (en) | 2005-03-03 |
| EP1665092A1 (en) | 2006-06-07 |
| CN100580666C (en) | 2010-01-13 |
| WO2005020091A1 (en) | 2005-03-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100580666C (en) | Method and system for searching semantic disambiguation information by using semantic disambiguation investigation | |
| US7882097B1 (en) | Search tools and techniques | |
| US9069857B2 (en) | Per-document index for semantic searching | |
| US7266553B1 (en) | Content data indexing | |
| US8073877B2 (en) | Scalable semi-structured named entity detection | |
| US7774333B2 (en) | System and method for associating queries and documents with contextual advertisements | |
| US20070136251A1 (en) | System and Method for Processing a Query | |
| US20110301941A1 (en) | Natural language processing method and system | |
| US20090055386A1 (en) | System and Method for Enhanced In-Document Searching for Text Applications in a Data Processing System | |
| JP2005302042A (en) | Term suggestion for multi-sense query | |
| Tsai et al. | A hybrid approach to automatic web services discovery | |
| CN1687925A (en) | Method for realizing bilingual web page searching | |
| WO2002010985A2 (en) | Method of and system for automatic document retrieval, categorization and processing | |
| CN1871601A (en) | System and method for associating documents with contextual advertisements | |
| CN107818091B (en) | Document processing method and device | |
| Cook et al. | Using a graph-based data mining system to perform web search | |
| KR20000063488A (en) | The semantic knowledge database automatic construction device on the on-line document, and the method, the record medium for that. | |
| Neri et al. | Mining the Web to monitor the Political Consensus | |
| US20050102278A1 (en) | Expanded search keywords | |
| EP1605371A1 (en) | Content search in complex language, such as japanese | |
| Manshadi et al. | A Query-Based Weighted Document Partitioning Method for Load Balancing in Search Engines | |
| NZ575720A (en) | Natural language processing method and system | |
| Kowalski | Ingest |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20100113 Termination date: 20130820 |